AI Lifecycle Management Jobs in Bengaluru

Associate Principal TA Program Manager Location: Bangalore About Tekion Tekion is transforming the automotive industry with the first cloud-native automotive platform, connecting OEMs, dealerships, technology partners, and consumers. Through ARC, AEC, and APC, we deliver seamless, AI-driven digital experiences for the automotive ecosystem. Tekion employs ~3,000 people across North America, Asia, and Europe and is committed to innovation, inclusion, and a high-performance culture. Role Overview As Associate Principal TA Program Manager, you will architect, execute, and evolve global talent acquisition programs that set Tekion apart as an employer of choice. You will design transformative candidate experiences, manage referral and diversity initiatives, lead campus hiring strategies, and leverage AI and automation to streamline TA operations. This is a high-impact, globally visible role where your work directly shapes Tekion s talent brand and hiring excellence. Key Responsibilities Candidate & Employee Experience Deliver a seamless, engaging experience for all candidates and employee referrals. Gather feedback to continuously improve the hiring journey. Maintain accurate candidate data through system-level validations. AI-Driven Talent Acquisition Lead adoption of AI-powered tools and automation to improve speed, personalization, and efficiency. Pilot and scale data-driven hiring solutions in collaboration with tech teams. Process Improvement & Issue Management Identify gaps in TA workflows and ensure smooth, efficient operations. Manage escalations, prioritize issues, and resolve TA-related challenges. Communication & Standardization Design and implement standardized communication templates for scheduling, offers, and feedback. Maintain TA guides, interview kits, and resources for consistency across regions. Strategic Programs & Initiatives Lead global TA programs including referral contests, ambassador programs, and training initiatives. Develop and execute diversity networking, leadership events, and inclusive hiring campaigns. Drive Talent Branding campaigns to strengthen Tekion s employer reputation. Campus Hiring & Early Talent Programs Build immersive, relationship-driven university recruiting programs. Collaborate with campus leads to attract top early-career talent. Execute high-impact 6-month internship programs for early leadership development. Playbook & Process Optimization Govern and continuously improve the TA Playbook with templates, guides, and workflows. Implement automation and bots to maximize efficiency and scalability. Recruiter Enablement & Training Design and deliver structured recruiter training on interviews, negotiation, and candidate engagement. Lead TA certification initiatives and maintain a continuous learning calendar. Reporting, Insights & Continuous Improvement Automate dashboards, scorecards, and KPI reports to provide real-time insights. Track Candidate NPS and use insights to enhance experience across the TA lifecycle. Qualifications Master s degree with 8+ years of measurable impact in TA program leadership in tech-driven organizations, or Bachelor s degree with 12+ years experience. Proven experience architecting and scaling global campus, referral, boomerang, and diversity TA programs. Strong expertise in process improvement, TA workflow optimization, and issue management. Hands-on experience with AI, automation, and modern ATS/HRIS tools (Greenhouse preferred). Track record in communication standardization, playbook creation, and recruiter enablement. Skilled in leveraging data and NPS insights to improve TA outcomes. Excellent stakeholder management, project leadership, and communication skills. Strong drive to innovate, lead change, and create remarkable candidate experiences. Competitive rewards & equity aligned with Radford standards A culture of empowerment, learning, and inclusivity High visibility and impact for your work on a global stage

AI Native Product Manager Location: Bengaluru Type: Full-Time Experience Required: 2+ Years in PM (with a B2C focus) Role Overview: Architecting the Future of AI We are seeking a visionary AI Native Product Manager to drive innovation within our core product suite. You will leverage deep expertise in LLMs, Generative AI, and AI Prompting to translate market trends and user needs into a cohesive, high-impact product strategy. This is a role for a "tinkerer" who understands the technical nuances of AI and the psychological drivers of B2C users. The Ideal Candidate Profile AI Specialization: Technical Fluency: Deep knowledge of Large Language Models (LLMs), Gen AI workflows, and advanced Prompt Engineering. Hands-on Tinkering: A genuine passion for AI advancements and a history of experimenting with cutting-edge AI tools. Product Leadership: Metrics Ownership: Proven track record of owning and successfully driving Head Metrics for a digital product. B2C Expertise: Essential experience in B2C product management, focusing on user behavior and retention. GTM Strategy: Experience with Product Launches and Go-to-Market (GTM) strategies is a significant advantage. Agile Mastery: Expert understanding of Agile methodologies and end-to-end product lifecycle management. Key Responsibilities Strategy & Discovery: Visionary Roadmap: Develop and adapt a clear product vision based on market analysis and evolving AI trends. Requirements Engineering: Translate stakeholder needs into precise product specs, user stories, and acceptance criteria. Execution & Growth: Cross-functional Leadership: Lead engineering, design, and marketing teams to ensure seamless execution of the roadmap. End-to-End Development: Manage scope, timelines, and resources to deliver high-quality AI-driven features. Launch & Iterate: Execute successful product launches and monitor post-launch performance to inform continuous improvements. Data-Driven Decisions: Use data analytics and user behavior insights to track KPIs and pivot strategies proactively. Core Competencies Communication: Ability to convey complex AI concepts to non-technical stakeholders clearly. Problem Solving: A proactive, hands-on approach to tackling the unique challenges of non-deterministic AI outputs. Quantitative Mindset: Comfortable with advanced analytics tools to validate product hypotheses.

Software Development Engineer III Location: Bengaluru About Us: Observe.AI Observe.AI is a leading AI-powered platform revolutionizing customer experience. We enable enterprises to deploy AI agents that automate customer interactions, creating natural conversations and delivering predictable outcomes. Combining advanced speech understanding, workflow automation, and enterprise-grade governance, our platform empowers teams to guide and augment human agents with AI copilots, and analyze 100% of both human and AI interactions for insights, coaching, and quality management. Companies such as DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all communication channels. At Observe.AI, you will be building the backend that powers AI agents, transforming customer service for global enterprises. You'll work on high-scale, complex systems where your contributions have a direct and visible impact. In a culture that emphasizes speed, innovation, and ownership, this is your chance to sharpen your skills, drive forward innovation, and shape the future of AI-powered customer experiences. You will collaborate closely with product, design, and engineering leaders to define the technical roadmap and build solutions that matter. If you are looking for an environment where your ideas drive innovation, your expertise shapes the platform s future, and your growth is fueled by working with brilliant peers, Observe.AI is the place for you. What You ll Be Doing: AI Agent Development: Contribute to building and deploying AI agents (Voice Agents, Chat Agents, and Copilots) at enterprise scale for customer service. Full Application Lifecycle: Design, code, test, deploy, and debug applications with a high focus on quality throughout the entire lifecycle. Collaborative Roadmap Creation: Work with product and design teams to translate product goals into clear, actionable technical roadmaps. Reusable Code Development: Create reusable code, frameworks, and libraries to accelerate development, ensuring consistency across multiple projects. Optimization: Optimize applications for speed, scalability, and reliability, proactively addressing bottlenecks and performance issues. Security & Data Protection: Implement robust security measures and data protection practices to safeguard customer data and sensitive information. Scalable Data Storage: Design and manage scalable data storage solutions to ensure efficiency, reliability, and long-term maintainability. Efficient Data Pipelines: Build and scale data pipelines to process large volumes of data accurately and efficiently. Team Leadership: Review work of other team members, provide feedback, and lead by example across all aspects of the development lifecycle. Thought Leadership: Represent Observe.AI at tech conferences, demonstrating thought leadership and presenting solutions to complex challenges. What You ll Bring to the Role: 6-9 years of experience in building large-scale products with a strong track record of delivering high-quality solutions. Expertise in Python (with immediate proficiency), and familiarity with other high-level languages such as Java, Golang, or similar. Solid experience with SQL or NoSQL databases (e.g., Postgres, MongoDB, Cassandra). In-depth knowledge of asynchronous communication tools like Kafka, SQS, Temporal, etc. Understanding of popular caching tools such as Ehcache, Memcache, Redis. A customer-first mindset with the ability to adapt quickly in a fast-paced environment. Strong problem-solving skills and the ability to think and communicate from first principles. Open-mindedness to learning new technologies and staying current with industry trends. Perks & Benefits: Medical Insurance: Comprehensive medical coverage with free online doctor consultations. Leave Policies: Generous leave options, including privilege and sick leave as per Karnataka S&E Act, national and festive holidays, and parental leave. Learning & Development: A dedicated fund for continuous learning and professional development. Flexible Benefits: Tax-saving benefits (e.g., meal cards, PF, etc.) and flexible benefit plans. Team Culture: Regular fun events to promote collaboration and build company culture.

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Mobile App and Observability SDK Engineer Experience: 3 6 Years Location: Bengaluru About VuNet VuNet is a pioneer in Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our cutting-edge platform offers end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and superior user satisfaction. With over 28 billion digital transactions monitored monthly touching 400 million users worldwide we re already powering leading banks and financial institutions across India and MEA. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized globally by analysts like Gartner and Omdia. Your Role: Mobile App and Observability SDK Engineer At VuNet, the Product Development Team is dedicated to delivering exceptional customer experiences through scalable products. We are looking for a Mobile App and Observability SDK Engineer to join this team. In this role, you ll be at the forefront of building high-quality mobile applications and advancing our Mobile Real User Monitoring (MRUM) initiatives. You ll capture and translate mobile performance data into actionable insights, helping improve the performance and user experience of mobile apps across various platforms. If you re passionate about mobile engineering, user experience, and observability this role offers a unique opportunity to merge these interests into a groundbreaking solution. Roles & Responsibilities Mobile Application Development: Design, develop, and maintain robust, high-performance mobile applications for iOS and Android using Swift, Kotlin, Flutter, or React Native. Testing & Quality Assurance: Implement unit, integration, and UI testing strategies to ensure the app s quality, stability, and regression coverage. Debugging & Profiling: Identify and resolve performance bottlenecks, ANRs, crashes, and memory leaks using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analysis & Reporting: Integrate crash analytics tools and develop efficient incident tracking and resolution workflows. Performance Monitoring & Insights: Leverage telemetry, profiling, and analytics data to enhance app performance, responsiveness, and overall user experience. Observability Collaboration: Work with SRE and backend teams to export performance metrics, logs, and traces from mobile clients into centralized observability platforms. Code Quality: Write clean, modular, and well-documented code, adhering to best practices in mobile development and SDK maintenance. What You Bring Mandatory Skills: Mobile App Development: 3+ years of hands-on experience in mobile app development using Flutter, React Native, Swift, or Kotlin (experience in at least two of these). App Lifecycle & Performance: Strong understanding of mobile app lifecycle, UI rendering, asynchronous processing, state management, and performance optimization (ANRs, memory management, network latency). Debugging & Profiling Tools: Proficiency in debugging, profiling, and testing mobile applications using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analytics: Experience integrating and using crash analytics and reporting tools. CI/CD & SDK Versioning: Familiarity with CI/CD pipelines, automated testing, and SDK versioning. Performance Instrumentation: Interest in observability, monitoring, and performance instrumentation with a willingness to learn OpenTelemetry and RUM concepts. Problem-Solving Mindset: Strong analytical and debugging skills, focused on enhancing performance and reliability. Nice-to-Have Skills: OpenTelemetry & SDKs: Exposure to OpenTelemetry SDKs or other instrumentation frameworks for capturing telemetry data (e.g., traces, metrics, logs). Mobile Observability: Familiarity with mobile observability backends. Session Replay & Mobile Analytics: Knowledge of session replay, user behavior tracking, or mobile analytics SDKs. SRE & Monitoring Practices: Understanding of SRE principles, monitoring best practices, and golden signals. Open Source Contributions: Contributions to open-source SDKs or mobile performance tools. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. We re just getting started, and we re looking for people like you to join us in tackling some of the most complex challenges in the digital world. Our team is filled with passionate problem-solvers who thrive in a collaborative, fast-paced environment. We embrace continuous learning, adapt quickly, and stay ahead of emerging technologies like Gen AI. If you re looking to work on cutting-edge technology, make a real impact, and grow with a supportive team, you ll feel right at home here at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. A transparent, inclusive, and high-trust workplace culture. Access to Gen AI and integrated technology workspaces. Supportive career development programs to expand your skills with various training opportunities.

Technical Project Manager - AI Delivery Location: Bengaluru Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and business-focused virtual telecom operator for emerging markets. Founded in 2011, Exotel powers over 50 million daily engagements across voice, video, and messaging channels. Our cloud-based solutions are trusted by over 6,000 companies in more than 60 countries including major players like Ola, Swiggy, Flipkart, GoJek, Byju s, HDFC Bank, Zomato, and Urban Company. We are a Series D company valued at $100 million, with $60 million in ARR, and we provide communication APIs, a modern omnichannel contact center, and a conversational AI platform hosted on the cloud. About the Role Exotel is looking for a Technical Project Manager - AI Delivery to oversee the end-to-end delivery of complex AI-driven projects. You ll be responsible for managing the complete project lifecycle from initiation to closure ensuring that all deliverables meet quality standards, customer requirements, and timelines. As the primary customer interface, you will manage expectations, resolve issues proactively, and ensure successful AI-first implementations for enterprise customers. In this role, you will also contribute technical insights, provide support to your team, and help drive continuous improvement while maintaining a customer-centric focus. Responsibilities Project Planning & Execution: Develop detailed project plans, including scope, objectives, timelines, budgets, and resource allocation. Track progress, ensure deliverables meet quality standards, and ensure timely delivery. Customer Interface: Act as the primary point of contact for customers on assigned projects. Conduct regular status meetings, manage customer expectations, and ensure that their needs are consistently met. Scope & Requirement Management: Work closely with customers to define and document project requirements, manage scope changes, and ensure alignment with product capabilities. Risk Management: Identify potential project risks, develop mitigation strategies, and ensure timely issue resolution. Escalate risks to the Lead Project Manager when necessary. Cross-Functional Coordination: Coordinate daily activities with delivery and engineering teams, ensuring that technical tasks align with project timelines. Facilitate smooth handovers to support engineers post-delivery. Reporting & Stakeholder Communication: Prepare and present regular project status reports to the Lead Project Manager and other internal stakeholders. Methodology Adherence: Ensure all project activities adhere to AI delivery methodologies and best practices, optimizing workflows and processes. Mentorship: Provide mentorship to junior project team members, fostering a high-performing, value-driven organizational culture. Ownership: Take ownership of business satisfaction through the tested deployment of solutions and by consistently delivering on project objectives. Experience: 5+ years of project management experience, preferably in software or SaaS delivery, with a proven track record of managing complex projects from initiation to closure. Technical Knowledge: Strong understanding of integration methods for CRMs and APIs. Familiarity with cloud systems, architecture, networking, and deployment methodologies. AI/ML Knowledge: Familiarity with AI/ML, NLP, or conversational AI concepts is a plus. Requirements Gathering: Experience in gathering and translating customer requirements into actionable business use cases. Customer Management: Ability to run customer meetings, manage expectations, and handle change requests effectively. Technical Expertise: Strong understanding of Linux, networking, databases, message queues, and caching. GenAI Exposure: Hands-on experience with GenAI technologies, such as prompt engineering and Large Language Models (LLM) applications. Soft Skills: Excellent time management, communication, and interpersonal skills. Strong organizational and problem-solving abilities. Customer-Centric: Proactive, customer-focused mindset, ensuring timely issue resolution and high-quality delivery. General Skills Lead the implementation and testing of GenAI projects, ensuring alignment with customer requirements and business goals. Coordinate with pre-sales, product, and support teams to set expectations and deliver according to timelines. Ensure adherence to SLAs, proactively resolve delivery bottlenecks, and maintain a smooth delivery pipeline. Mentor junior engineers and uphold high-quality standards in all project deliverables. Innovation at Scale: Work on cutting-edge AI and communication technologies impacting millions of people daily. Growth & Impact: Be part of a rapidly growing company with ample opportunities for career development and personal growth. Collaborative Culture: Join a passionate, supportive, and high-performing team where collaboration and innovation are core values. Competitive Benefits: Enjoy comprehensive health insurance, mental wellness support, and a robust benefits package. If you are an experienced Project Manager with a strong technical background and a passion for AI-driven solutions, we d love to hear from you. Apply Now to join the Exotel team as a Technical Project Manager - AI Delivery and play a key role in transforming customer engagement across emerging markets.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Job Title: AI/ML Architect Location: Bangalore, India Experience: 15 17 Years Employment Type: Full-Time Overview: We are seeking an experienced AI/ML Architect with 15 17 years of overall experience, including 2 3 years in project management. This strategic role requires deep expertise in AI/ML technologies, enterprise AI architecture, and hands-on delivery of cutting-edge solutions such as autonomous AI agents and generative AI platforms. The architect will lead the design, proposal, and execution of AI-driven solutions across diverse client engagements. Key Responsibilities: Solution Architecture & Design: Design and evolve robust AI/ML architectures incorporating autonomous agents, scalable business intelligence, and generative AI. Collaborate with cross-functional teams (data scientists, ML engineers, UX designers, and business strategists) to convert business needs into technical designs. Evaluate emerging technologies, frameworks, and trends to guide architectural roadmaps and innovation strategies. RFP Response & Proposal Development: Lead the technical response for RFPs, creating solution frameworks that align with client objectives and industry standards. Draft detailed technical proposals, use cases, and presentations to demonstrate the business value and ROI of AI solutions. Partner with sales and business teams to align proposals with market needs and positioning. Project Delivery & Technical Leadership: Oversee full AI/ML solution lifecycles from architecture design to deployment and monitoring ensuring compliance, quality, and performance. Provide hands-on guidance and mentorship to technical teams, promoting best practices in data science, ML model development, and deployment pipelines. Manage project schedules, resource planning, and risk mitigation for successful delivery outcomes. Stakeholder & Cross-Functional Collaboration: Act as the primary technical liaison across teams, ensuring stakeholder alignment on vision, progress, and technical challenges. Conduct technical workshops, reviews, and solution demos to showcase innovation and architectural decisions. Innovation & Continuous Improvement: Monitor industry trends, publications, and competitor offerings to integrate innovative features into AI/ML initiatives. Continuously refine and optimize existing platforms, ensuring scalability, performance, and user-centricity. Required Skills & Qualifications: 15 17 years of overall experience with 2 3 years in a leadership/project management role. Strong track record in AI/ML architecture, especially with autonomous agent systems, enterprise AI, and generative AI technologies. Proficient in modern AI/ML frameworks (TensorFlow, PyTorch, etc.), data pipelines, and cloud platforms (AWS, Azure, GCP). Experience designing and implementing end-to-end AI solutions in complex, data-driven environments. Demonstrated success in crafting technical proposals and responding to RFPs. In-depth knowledge of NLP, deep learning, traditional ML, and AI product integration. Effective project and stakeholder management skills; able to balance priorities across multiple projects. Excellent communication and presentation skills, with the ability to articulate AI value to technical and non-technical stakeholders.

Position Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Vice President (VP), Product Management Tableau | Bangalore, India Full-Time | Product Management | Salesforce Lead Product Innovation for Tableau s Analytics Portfolio & Drive Customer Success Salesforce is seeking a visionary Vice President of Product Management for our Tableau product portfolio. In this strategic leadership role, you will own the end-to-end product lifecycle, driving innovation, execution, and customer value across Tableau s analytics and AI-driven offerings. As the India site leader for Product Management, you ll foster a collaborative, customer-centric product culture while partnering closely with global teams, sales, marketing, and engineering to accelerate growth and deliver next-generation analytics experiences. What You ll Do Lead and scale a high-performing team of product managers across Hyderabad and Bangalore, guiding the full product lifecycle from market research and vision setting to agile execution and go-to-market enablement Define and drive the Agentforce product strategy, leveraging Salesforce AI & automation capabilities to deliver autonomous, agentic analytics that enhance decision-making and user productivity Act as the India product management site leader, aligning regional efforts with global Tableau and Salesforce Analytics strategies to build a cohesive product culture Collaborate with cross-functional leaders, including engineering and sales, to foster innovation, increase velocity, and improve product quality Champion customer-focused product design by translating feedback and use cases into actionable, measurable solutions Build strategic customer relationships to validate concepts, gather insights, and ensure customer success Stay ahead of industry trends in analytics, BI, AI, and data platforms to drive competitive differentiation and identify new opportunities Deliver compelling product narratives and demos to internal teams, customers, and executives, clearly articulating Tableau s value proposition Promote a culture of experimentation and data-driven decision making using A/B testing, telemetry, and user research Mentor and develop emerging product leaders, fostering growth in product thinking, technical expertise, and leadership What You ll Bring 15+ years of product management experience, ideally in Analytics, Data, or AI-driven software products Proven ability to lead and inspire global, cross-functional product teams from inception through scale Strong people leadership skills, with a track record of building creative, collaborative teams and aligning performance with business goals Exceptional organizational, analytical, and communication skills, with experience in senior business discussions Willingness to travel regularly between Hyderabad and Bangalore, plus biannual visits to the US Deep passion for building customer-centric products and mentoring future product leaders Experience driving product vision and roadmap in complex, fast-paced environments Work at the forefront of analytics innovation with Tableau and Salesforce AI Be a key leader in a fast-growing product organization with significant impact on global strategy Thrive in a culture driven by collaboration, mentorship, and Salesforce s core values Access world-class learning, leadership coaching, and career development opportunities Competitive compensation and comprehensive benefits

Senior AI Program Manager Location: Bangalore, India (Rubrik Office) Team: IT AI (Artificial Intelligence) About the Team Rubrik s IT AI team is leading AI-driven transformation across the organization, leveraging data, automation, and cutting-edge tech to support the company's mission of securing the world s data. This team partners across departments to deliver impactful, scalable AI solutions. Role Overview As a Senior AI Program Manager, you will lead the strategic planning, execution, and governance of AI initiatives across Rubrik s global IT operations. You ll collaborate with cross-functional business units and technical teams to deliver innovative, high-value AI solutions that align with Rubrik's business goals. Key Responsibilities Develop & manage a comprehensive AI program roadmap aligned with business goals. Collaborate with stakeholders across functions (Sales, HR, Finance, Legal, Support, etc.) to gather and prioritize AI solution requirements. Quantify ROI of AI initiatives and drive value-based prioritization. Oversee end-to-end AI project lifecycle: ideation, feasibility, development, deployment, adoption, and success measurement. Partner with technical teams: full-stack developers, data engineers, prompt engineers, cloud architects. Ensure compliance with data privacy, cybersecurity, and ethical AI standards. Champion AI adoption, innovation, and best practices across the organization. Maintain clear communication, manage risks, and provide consistent updates to leadership and stakeholders. What You ll Bring 5 8 years of experience in program management (IT/Tech Consulting/Engineering), with 2+ years leading AI-focused initiatives. Familiarity with Large Language Models (LLMs) and related technologies. Experience working alongside technical teams (developers, data engineers, cloud experts). Strong grasp of AI solution delivery using full-stack and cloud-based technologies. Skilled in business case development, ROI analysis, and roadmap execution. Excellent stakeholder communication, cross-functional leadership, and Agile project management skills (Jira, Confluence). Exceptional organizational and problem-solving abilities; comfortable in fast-paced, ambiguous environments. Preferred Qualifications Bachelor s degree in CS, Engineering, IT, or related field. Experience managing AI programs in large tech companies or consulting firms. Awareness of AI regulations and frameworks (e.g., GDPR, NIST, EU AI Act, CCPA). Rubrik (NYSE: RBRK) secures data across cloud, SaaS, and enterprise environments using its Zero Trust Data Security platform. Powered by machine learning, Rubrik helps organizations ensure data integrity, availability, and resilience against modern cyber threats and disruptions. Qualification : BS in Computer Science, Engineering, Information Technology, or a related technical field.

Lead Data Scientist Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company creating service intelligence products that are transforming industries such as high-tech devices, manufacturing, and medical devices. Backed by top Silicon Valley venture capitalists and an esteemed group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds. By analyzing structured and unstructured data, alongside insights from leading experts, we empower service leaders to improve key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you'll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. Our goal is to lead the AI revolution in service decision-making, and we want you to be a part of that journey. About the Team As a Lead Data Scientist, you ll play a pivotal role in designing, developing, and deploying NLP-driven solutions for processing and analyzing large volumes of unstructured data. Your deep technical expertise will help launch AI products that directly impact users. You ll also mentor junior team members, ensuring technical excellence and fostering growth within the team. You'll collaborate closely with cross-functional teams and customers to solve complex challenges and create impactful AI solutions. What You ll Do: Lead NLP Development: Oversee the development and deployment of NLP-based solutions for processing and analyzing unstructured data at scale. Machine Learning Model Development: Design, train, and optimize machine learning models using popular libraries such as PyTorch, NLTK, and Scikit-learn. Cloud Deployment: Architect and deploy AI/ML products on cloud platforms such as Azure, GCP, or AWS. Collaboration: Work with data engineering teams to ensure seamless integration of AI models into production systems. Data Analytics: Perform advanced SQL analytics to extract actionable insights from structured datasets. Mentorship: Guide and mentor junior data scientists, fostering a culture of technical excellence within the team. Customer Engagement: Work closely with customers to understand their needs and translate those into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Stay Current: Keep up-to-date with the latest advancements in NLP and machine learning to ensure best practices and cutting-edge solutions are applied. What We re Looking For: Experience: Minimum 10 years of experience in data science, specifically focused on NLP and unstructured data processing. Track Record: Proven experience in launching NLP-driven products to live users. Technical Expertise: Expertise in Python and libraries such as PyTorch, NLTK, and Scikit-learn. Hands-on experience with Transformer-based models (e.g., BERT, GPT). Cloud Proficiency: Strong experience with cloud platforms like Azure, GCP, or AWS for hosting and deploying AI/ML products. Data Engineering Knowledge: Familiarity with data engineering pipelines and best practices for scalable AI model deployment. SQL Proficiency: Proficient in SQL for data manipulation and advanced analytics. Problem-Solving: Excellent problem-solving skills with a strong ability to work with large-scale datasets. Leadership & Communication: Strong interpersonal and communication skills, with the ability to mentor team members and interact effectively with customers. Preferred Skills: MLOps Knowledge: Understanding of MLOps practices for model deployment, monitoring, and lifecycle management. Data Processing Tools: Familiarity with tools like Airflow, Spark, or similar frameworks for data processing. Customer-Facing Experience: Background in working with customer-facing applications and APIs to deliver AI-powered solutions. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making using advanced AI technology, and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Hybrid work model with flexibility to work from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about building innovative AI-driven solutions and want to be part of a forward-thinking team, we d love to hear from you!

AI/ML Engineer - Bengaluru, India Experience: 4 to 6 years About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in technology services and consulting. Operating in 65 countries with over 230,000 employees, Wipro helps organizations achieve digital transformation through innovative, future-ready solutions. Role Overview We are hiring an experienced AI/ML Engineer to work on advanced machine learning and Generative AI solutions. You will design prompt engineering pipelines, develop ML models using frameworks like TensorFlow and PyTorch, and deliver scalable backend services using Python and Django. Key Responsibilities Design and implement GenAI-based use cases using prompt engineering techniques Build REST APIs and scalable microservices using Python and Django Evaluate GenAI model performance and implement guardrails Deploy applications to Azure or AWS cloud environments Lead prompt lifecycle management including tuning, templating, and optimization Ensure integration with databases and external APIs Use CI/CD tools for continuous deployment (Azure DevOps, Jenkins, Ansible, Terraform) Mandatory Skills Python, Django, REGEX AI/ML, Deep Learning, NLP TensorFlow, PyTorch Generative AI, LLMs, RAG Pipelines REST API development Preferred Skills API Gateways: WSO2, KONG, nginx Apache HTTP Server Azure DevOps, Ansible, Jenkins, Terraform Databricks Additional Requirements Understanding of OOP, design patterns, and scalable architecture Familiarity with Docker and version control tools like GitHub or Bitbucket Team leadership in prompt engineering and stakeholder engagement Knowledge of secure prompt design to mitigate injection or leakage risks Join a forward-thinking digital transformation company where your ideas shape the future. We value diversity, innovation, and continuous learning. Applications from individuals with disabilities are highly encouraged.

Senior Product Manager AI Products | SaaS | CLM | Bangalore Location: Bangalore, India Department: Product Management Reports To: Manager, Product Management Experience Required: 5+ years in Product Management (B2B SaaS, AI, or Document Automation) Industry: SaaS | AI/ML | Contract Lifecycle Management (CLM) About Conga At Conga, we help global businesses simplify complexity and drive revenue growth through powerful Revenue Lifecycle Management solutions. Our platform unifies critical business processes across configuration, execution, fulfillment, and renewal empowering teams with AI-driven insights to make smarter, faster decisions. The Conga Way shapes our culture it s how we hire, collaborate, and innovate. Developed with direct input from our employees, it ensures every voice is heard and every talent is nurtured. Role Overview Senior Product Manager (Discovery AI): We are looking for a Senior Product Manager to lead the development of Discovery AI, Conga s advanced metadata extraction and document analysis engine. You will play a key role in bringing AI-powered solutions to market, working cross-functionally to drive innovation and enhance the way enterprises manage contracts and data. Why This Role Matters: Discovery AI helps businesses unlock hidden insights from unstructured documents, improving compliance, reducing manual processing, and increasing operational efficiency. Your leadership will define how Conga delivers next-generation solutions in document intelligence, AI, and contract metadata extraction transforming the way customers interact with their most critical data. Key Responsibilities: AI-Driven Product Innovation: Define and lead the roadmap for metadata extraction and document intelligence solutions powered by AI/ML. Hands-On Product Execution: Deliver demos, manage implementation rollouts, and work closely with scrum teams to ship features on time and with impact. Customer-Centric Strategy: Gather and prioritize customer feedback to continuously refine Discovery AI features and address real-world use cases. Cross-Functional Leadership: Collaborate with engineering, data science, UX, services, and marketing teams to ensure aligned product delivery. Market & User Research: Conduct in-depth research to identify opportunities for new AI-powered capabilities and competitive differentiation. Analytics & Prioritization: Use data insights and usage metrics to shape roadmap decisions and measure product success. Internal Enablement: Create clear documentation, support training materials, and partner with customer success to handle escalations. Go-to-Market Collaboration: Work with marketing and sales teams to communicate product value and drive adoption. Qualifications: 5+ years of experience in Product Management, ideally in B2B SaaS, AI/ML, or document/data extraction platforms. Proven ability to manage full product lifecycle from concept to launch and iteration. Strong grasp of AI/ML fundamentals and how they apply to business workflows. Experience with Contract Lifecycle Management (CLM) or enterprise legal/document systems is a strong plus. Bachelor s degree in Engineering or related technical field (Master s or MBA is a plus). Strong communication and stakeholder management skills across both technical and business teams. Passionate about solving real-world customer problems using data and intelligent automation. What Will Set You Apart: Deep empathy for the customer journey and a strong desire to build products that deliver measurable impact. Proven leadership in Agile product development environments. Ability to clearly communicate complex technical concepts to non-technical audiences. Enthusiasm for AI-driven transformation and the future of intelligent business systems. Collaborative mindset with the ability to influence without authority across distributed teams. Qualification : Bachelors degree in Engineering or related technical field (Masters or MBA is a plus).

Position: Senior Data Scientist Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: The Senior Data Scientist will play a key role in designing, developing, and implementing machine learning models and algorithms to solve complex business problems. The role involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, efficient machine learning solutions that drive innovation and improve business outcomes. Key Responsibilities: Model Development and Optimization: Develop, train, and optimize machine learning models to meet business objectives. Ensure models are accurate, efficient, and scalable. Data Pipeline and Infrastructure: Design and maintain robust data pipelines to support machine learning workflows. Ensure data quality and integrity throughout the data lifecycle. Deployment and Monitoring: Deploy machine learning models into production. Monitor model performance and implement improvements as needed. Collaboration and Communication: Work with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Research and Innovation: Stay up to date with the latest advancements in machine learning and AI. Experiment with new techniques and technologies to enhance the organization's capabilities. Essential Skills: Machine Learning Frameworks: Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Programming Languages: Strong skills in Python and R. Data Processing: Experience with tools like Pandas, NumPy, and Spark. Model Deployment: Experience with Docker, Kubernetes, MLflow, and FastAPI. Databases: Strong experience in databases like Snowflake, MongoDB, and Cosmo DB. Statistical Analysis: Strong foundation in statistics and probability. Model Management: Experience establishing model management, monitoring, support, and maintenance frameworks. ML Lifecycle: Experience setting up ML lifecycle processes and governance policies, as well as providing L0, L1, and L2 support. Desired Skills: Deep Learning: Familiarity with deep learning frameworks like TensorFlow or PyTorch. Natural Language Processing (NLP): Understanding of NLP techniques and applications. Cloud Computing: Experience with cloud platforms like AWS, Azure, or Google Cloud. Big Data Technologies: Knowledge of big data technologies such as Hive, Pig, or Cassandra. Software Engineering: Proficiency in software development and version control systems like Git. Qualifications: Education: Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience: Over 5 years of experience in machine learning, with a proven track record of developing and deploying models. Certifications: Relevant certifications in machine learning or data science are a plus. Key Qualities: Analytical Thinking: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a collaborative team environment. Adaptability: Flexibility to adapt to changing business needs and technologies. Innovation: A proactive approach to exploring new ideas and technologies. Apply now to join our dynamic team and lead innovation through machine learning and AI! Qualification : Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Job Title: Technical Consultant - Identity & Access Management Location: Bengaluru, India Company: IBM Consulting Introduction At IBM Consulting, we build long-term relationships and work closely with clients across the globe. As a Technical Consultant - Identity & Access Management (IAM), you'll collaborate with visionaries across multiple industries to help clients improve their hybrid cloud and AI journeys. With the support of IBM s technology platforms, including IBM Software and Red Hat, you will help accelerate the impact and transformation of the most innovative and valuable companies in the world. You ll work in our Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to public and private sector clients. Our centers offer clients locally based skills and technical expertise to drive innovation and adopt new technology. IBM Consulting fosters a culture of evolution and empathy, providing long-term career growth and development opportunities. Your Role and Responsibilities As a Technical Consultant - Identity & Access Management (IAM), you will specialize in CyberArk Privileged Access Management (PAM) solutions, helping our clients design and implement best-in-class identity and access management infrastructures. You will work with both internal teams and clients to design, deploy, and optimize CyberArk solutions that secure their critical systems and applications from unauthorized access. Key Responsibilities: CyberArk Deployment: Lead the design, implementation, and enhancement of CyberArk PAM solutions, including High-Level Design (HLD) and Low-Level Design (LLD). Collaborate with internal project teams and clients to deploy and further develop the CyberArk PAM solution, ensuring adherence to security policies and best practices. Provide clear and concise documentation for design, deployment, and enhancement activities. Security Policy & Governance: Assist clients in creating and enforcing security policies to manage privileged access to applications and platforms. Ensure alignment with Identity & Access Management (IDAM) best practices and governance standards. Solution Architecture & Design: Design and deliver high-quality security architectures for CyberArk PAM solutions, meeting customer requirements and deadlines. Help clients build secure infrastructures by defining policies and implementing security measures to protect systems and data. Consulting Engagement: Manage consulting engagements and deliver technical solutions, ensuring the deployment of CyberArk PAS components such as EPV, CPM, PVWA, PSM, PSMP, OPM, and PTA. Provide guidance on integrating Active Directory (AD) with CyberArk solutions. Develop custom connectors using automation tools like AutoIT scripts. Required Education Bachelor's Degree in a relevant field (e.g., Computer Science, Information Security, or related discipline). Required Technical and Professional Expertise 2+ years of experience working with CyberArk Privileged Access Solutions (including end-to-end implementation, design, and architecture). Hands-on expertise in deploying CyberArk PAS components (EPV, CPM, PVWA, PSM, PSMP, OPM, PTA). Strong understanding of Active Directory (AD) integration with CyberArk solutions. Experience in Identity & Access Management (IDAM) and governance. Ability to develop custom connectors using automation tools like AutoIT. Excellent problem-solving and consulting skills, with the ability to manage complex engagements. Preferred Technical and Professional Experience Experience with Okta ASA, Ping, Saviynt, ForgeRock, or other IAM solutions. Proficiency in JavaScript and frameworks like Angular. Expertise in directory technologies (e.g., AD, Azure AD, LDAP). Knowledge of enterprise web technologies, cloud architectures, and hybrid environments. Familiarity with cloud infrastructures and identity lifecycle management processes. Proven experience working in teams, meeting deadlines, and mentoring colleagues. About IBM Consulting IBM Consulting is a global leader in business and technology transformation. We combine strategy, experience, technology, and operations expertise to help companies drive innovation and improve business outcomes. Our people focus on collaboration to accelerate clients success, ensuring responsible use of technology to benefit people, partners, and the planet. Join us as a Technical Consultant - Identity & Access Management, where you will have the opportunity to work with leading-edge technologies and make a real impact on the cybersecurity landscape.

Job Title: Digital Transformation Leader Industrial Manufacturing and Aerospace Engineering Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, combining market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what s next for their businesses. We are committed to delivering tangible impact through cutting-edge solutions across industries. My Role: As a Digital Transformation Leader and Subject Matter Expert (SME) in the Industrial Manufacturing and Aerospace Engineering & R&D domains, I will play a pivotal role in shaping the future of our client's digital journey. This includes understanding day-to-day industry activities and leveraging this knowledge to lead projects and build high-performing teams. You will: Lead the development and delivery of digital transformation initiatives in industrial manufacturing and aerospace engineering, specifically focusing on digital continuity, engineering transformation, and model-based systems engineering. Act as a thought leader and industry expert, driving innovative solutions to address customer challenges. Develop and manage digital offers, go-to-market strategies, and key technology solutions for global OEMs and industry players, ensuring alignment with business objectives and ROI. Lead and mentor a team of consultants, ensuring the successful deployment of industry-leading digital transformation projects. Collaborate with sales teams, customers, and stakeholders to generate new business opportunities for Capgemini Invent. Articulate thought leadership by conducting industry studies, identifying future trends, and promoting Capgemini's branding. Manage cross-functional teams and work on market strategies for servitization models or after-sales support, leveraging new product/solution development. Build and foster strong customer relationships, using your process/technology expertise to develop solutions tailored to their business needs. Drive innovation by integrating Industry 4.0 technologies such as IoT, cloud, AR/VR, automation, digital twins, blockchain, and RFID into customized offerings for clients. My Profile: Qualifications (Must Have): 14+ years of experience in consulting and the Industrial/Aerospace industry, with a focus on Engineering and R&D consulting. Strong Project Management experience. Good to Have: Business Consulting experience. PMP certification. What You ll Love About Working Here: Flexible work arrangements to support work-life balance, including remote work and flexible hours. Career growth opportunities through various programs and professions designed to help you explore a world of possibilities. Access to certifications in the latest technologies such as Generative AI, enabling you to stay ahead in your field. About Capgemini: Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world. With 340,000 team members across more than 50 countries, Capgemini leverages its market-leading capabilities in AI, cloud, and data to address the full range of business needs, from strategy and design to engineering. Trusted by clients for over 55 years, Capgemini reported global revenues of 22.5 billion in 2023.

Job Description Intel is looking for an experienced Customer Quality Engineer to play a key technical support role for Xeon platforms, acting as a primary contact for pre- and post-sales support. In this role, you will represent Intel in customer engagements, ensuring that customer needs are accurately communicated within Intel and that technical challenges are resolved efficiently. You will collaborate closely with Sales and Marketing (SMG) and internal engineering teams to drive strategic technical support and enablement. Key Responsibilities: Xeon systems technology enabling, supporting customers in hardware design and validation. Provide hardware design support, including schematic reviews, layout analysis, SI (Signal Integrity), PI (Power Integrity), mechanical, and thermal analysis. Debug and resolve hardware issues, working closely with internal and external partners. Develop and publish technical documentation, collaterals, and training materials for DCAI (Data Center and AI) platforms. Manage Field Action Customer Returns (FACR) and returns management. Support customer production challenges by offering technical expertise and resolution strategies. Enable early worldwide customer issue support, facilitating platform debug and silicon failure analysis. Provide post-sales technical support for installation, implementation, and maintenance of DCAI reference platforms. Ensure Intel solutions are fully functional and meeting customer specifications, with follow-up technical support as needed. Qualifications & Experience: Educational Requirements: B.E in Electronics & Communication Engineering or a related field. Minimum of 15 years of industry experience in relevant areas. Technical Expertise: Experience in Xeon platforms hardware design and validation. Strong knowledge of schematics, layout, mechanical, and thermal analysis. Experience in electrical validation and signal integrity (SI) analysis (desirable). Expertise in hardware issue validation and debug. Proven ability to develop technical documents and presentations for customer training and support. About Intel Validation Engineering (iVE) Group: The Intel Validation Engineering (iVE) Group plays a crucial role in Intel s product leadership, ensuring that the latest cutting-edge designs and technologies meet the highest quality standards. iVE is responsible for validating, debugging, and optimizing Intel s products, ensuring the timely delivery of Intel s annual technology roadmap. Intel s Commitment to Diversity & Inclusion: Intel is committed to providing equal employment opportunities to all qualified applicants regardless of race, gender, religion, nationality, disability, or any other protected characteristic under local laws. Intel offers a best-in-class compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Opportunities for career growth, leadership, and professional development. Qualification : B.E in Electronics & Communication Engineering or a related field.

About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload, or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. We embrace diversity and openness because it's in our DNA. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization and beyond. "At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher-performing organization." George Kurian, CEO Job Summary As a Software Engineering Manager for the Solutions Integrations Engineering team at NetApp, you will lead a team focused on delivering solutions that meet customers' needs across engineered systems and cloud services. We work closely with ISVs and the startup ecosystem in the Virtualization, Cloud, AI/ML, and Gen AI domains to build solutions that matter for the customers. You will direct the activities of a software development team that designs, develops, tests, and owns the software lifecycle. You will impact the planning, execution, and delivery of parallel projects. Job Requirements Strong understanding of the software development lifecycle, quality assurance processes, and project management methodologies. Proven experience managing small to medium-sized software development teams. Demonstrated favorable results through providing leadership to the function. Ability to function independently in a fast-paced, dynamic environment with competing priorities. Experience with networking technologies, cloud technologies, and hybrid cloud solutions is a plus. Technical Skills: Understanding of the software development lifecycle. Strong proficiency in full-stack development MERN Stack, Python, Cloud, and modern ML frameworks. Knowledge of data storage, virtualization, and hypervisors such as VMware ESX and Linux KVM. Understanding of AI concepts, including server/storage architecture, batch/stream processing, data warehousing, data lakes, distributed filesystems, OLTP/OLAP databases, data pipelining tools, model training, inferencing, and RAG workflows. Experience with Unix-based operating system kernels and development environments (e.g., Linux or FreeBSD). Interface with customers and partners to resolve escalations. Education A minimum of 10+ years of experience as an individual contributor and 3 to 5 years as a technical manager. A Bachelor of Science degree in Electrical Engineering or Computer Science is required. A Master's or Ph.D. is preferred. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you. We are all about helping customers turn challenges into business opportunities. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better and to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time-off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favorite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. If you want to help us build knowledge and solve big problems, let's talk. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. Qualification : A Bachelor of Science Degree in Electrical Engineering or Computer Science, a Master Degree or a PhD or equivalent experience is required.

Description bout the organization: Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be leading the Quality Engineering team as we build the best in class the AI capabilities at Salesforce. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: Salesforce is seeking a highly experienced and dynamic Director of Software Engineering with a strong focus on Quality Assurance to lead our QA team within the AI Cloud division. The ideal candidate will possess extensive expertise in cross-functional team collaboration, effective negotiation skills, and a solid background in test automation. This role requires strategic planning capabilities, exceptional people management skills, and the ability to manage expectations with various stakeholders while setting out a clear roadmap for the team. You ll have the opportunity to enhance our test frameworks, work on test environment stability, and develop automation strategies for both platform and applications, including Copilots, Einstein for Service, and others. Key Responsibilities: Team Leadership and People Management: Lead, mentor, and develop a high-performing QA team within the AI Cloud division. Foster a collaborative, inclusive, and innovative team environment. Conduct regular performance reviews, provide constructive feedback, and facilitate professional growth for team members. Cross-Functional Collaboration: Partner closely with development, product management, and other departments to ensure the integration of robust QA processes within AI Cloud initiatives. Facilitate effective communication and collaboration across teams to identify and resolve quality issues promptly. Test Automation Management: Oversee the development, implementation, and maintenance of test automation frameworks and tools tailored for AI Cloud products. Ensure comprehensive test coverage and optimize testing processes for efficiency and effectiveness. Stay updated with the latest trends, technologies, and best practices in test automation and AI testing methodologies. Stakeholder Management: Manage expectations and communicate effectively with various stakeholders including senior leadership, product owners, and customers. Provide regular updates on QA activities, progress, and challenges, ensuring transparency and alignment with AI Cloud business objectives. Negotiate and prioritize testing efforts to align with business goals and AI product release timelines. Strategic Planning and Roadmap Development: Develop and implement a strategic QA roadmap that aligns with Salesforce AI Cloud s business objectives and product development goals. Set clear goals, milestones, and timelines for QA initiatives and projects. Continuously evaluate and enhance QA processes, methodologies, and practices to drive improvements in product quality and team efficiency. Quality Assurance and Continuous Improvement: Establish, enforce, and uphold quality standards, guidelines, and best practices across the QA team. Monitor and analyze QA metrics to identify areas for improvement and drive data-driven decision-making. Lead continuous improvement initiatives to enhance product quality, reduce defects, and improve team performance. Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field; advanced degree preferred. At least 14 years of experience in a similar senior QA management role within a fast-paced, agile software development environment. Strong expertise in test automation tools and frameworks (e.g., Selenium, JUnit, TestNG). Excellent leadership and people management skills with a track record of building and leading high-performing teams. Exceptional communication and negotiation skills, with the ability to manage expectations and influence stakeholders at all levels. Strong analytical and problem-solving abilities, with a focus on data-driven decision-making. Experience in managing cross-functional teams and collaborating with various stakeholders to achieve common goals. Ability to develop and implement strategic plans and roadmaps. Familiarity with CI/CD pipelines and DevOps practices is a plus. Experience with AI technologies, large language models (LLMs), and tools like AWS SageMaker is preferred but not mandatory. Knowledge of Salesforce products and platforms is a significant advantage. Salesforce is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive...