Q Learning Jobs in Bengaluru

Customer Support Engineer I CRM Location: Bangalore About Tekion Tekion is transforming the automotive retail industry with the first cloud-native platform, including: Automotive Retail Cloud (ARC) for dealerships and retailers Automotive Enterprise Cloud (AEC) for manufacturers and large enterprises Automotive Partner Cloud (APC) for technology and industry partners The platform leverages Big Data, Machine Learning/AI, and IoT to deliver seamless, intuitive solutions connecting OEMs, dealers, and consumers. Tekion employs ~3,000 people globally and emphasizes innovation, entrepreneurial spirit, and collaboration. Role Overview As a Customer Support Engineer I CRM, you will provide end-to-end customer support for Tekion s cloud platform. You will be responsible for resolving technical issues, documenting solutions, and ensuring an excellent customer experience. Core Responsibilities Take ownership of customer-reported issues and see them through to resolution. Research, diagnose, troubleshoot, and identify solutions to system issues. Follow standard procedures for proper escalation of unresolved issues to internal teams. Understand the application both functionally and technically. Reference internal databases and external resources to provide accurate technical solutions. Ensure all issues are properly logged in the system. Prioritize and manage multiple open issues simultaneously. Prepare accurate and timely reports. Document technical knowledge in the form of notes, manuals, and guides. Required Skills Experience as an Application, Product, or Customer Support Engineer. Ability to quickly learn and master employer-specific software. Strong problem-solving skills for complex technical issues. Excellent written and verbal communication skills. Ability to diagnose and address application issues efficiently. Basic understanding of IoT and software (preferred but not mandatory). Comfortable working rotational shifts. Hands-on experience with chat or ticketing tools for customer interaction.

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

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

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You 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. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Associate Inside Sales Location: Bengaluru Employment Type: Full-Time About ClinChoice ClinChoice is a global leader in providing full-service clinical development and post-approval solutions to the world s top pharmaceutical, biotechnology, medical device, and consumer health companies. Since 1995, we ve partnered with innovators across the healthcare spectrum to accelerate clinical trials, ensure regulatory compliance, and advance patient safety. With operations spanning the U.S., U.K., Mexico, Armenia, China, Japan, India, and the Philippines, we deliver high-quality, data-driven solutions tailored to our clients unique needs. Position Summary We re seeking a motivated and detail-oriented Inside Sales Associate to join our growing team in Bengaluru. In this role, you will drive lead generation and business development initiatives by identifying new opportunities, reaching out to prospects, and supporting cross-functional collaboration to expand ClinChoice s footprint. Key Responsibilities Lead Generation & Outreach Research potential clients, including current and pipeline products, and identify key decision-makers. Initiate contact via targeted emails and cold calls to introduce ClinChoice s services and generate qualified leads. Consistently achieve monthly and quarterly goals for scheduling meetings with prospective clients. Maintain accurate records of all outreach activities, meetings, and follow-ups in the CRM system. Cross-Functional Collaboration Work closely with the Business Insights team to pinpoint opportunities and contribute to tailored marketing campaigns. Assist in distributing marketing assets to prospective clients and stakeholders. Market Intelligence & Learning Stay informed about ClinChoice s capabilities, offerings, and active projects. Build and maintain a robust knowledge base of client systems, industry trends, and market developments. Track changes in technology, operations, and regulatory landscapes to identify new sales opportunities. Additional Responsibilities Comply with all company policies, procedures, and data protection guidelines. Maintain strict confidentiality in all communications and documentation. Support broader organizational and departmental goals. Actively participate in training programs and ongoing learning initiatives. Candidate Profile Bachelor s degree in Commerce, Life Sciences, or a related field; MBA preferred. 0 2 years of relevant experience in sales, business development, or a similar role. Proficient in MS Office tools (Word, PowerPoint, Excel). Basic understanding of biostatistics is a plus. Strong analytical, communication, and interpersonal skills. Self-motivated, proactive, and able to work independently with a solution-oriented mindset. Be part of a globally recognized organization at the forefront of clinical innovation. Collaborate with cross-functional experts from around the world. Grow your career in a fast-paced, learning-oriented environment. Qualification : Bachelors degree in Commerce, Life Sciences, or a related field; MBA preferred

Associate Packaging Location: Bengaluru Employment Type: Full-Time Job Summary We are seeking a diligent Regulatory Compliance Team Lead to manage the qualification and compliance of packaging materials used in consumer products across the EMEA region. This role will focus on ensuring adherence to key EU and French regulations, coordinating testing and documentation, and collaborating closely with cross-functional teams to advance packaging compliance initiatives. Key Responsibilities Lead the qualification process for packaging materials used in consumer products, ensuring regulatory compliance across the EMEA region. Ensure packaging materials comply with relevant regulations including, but not limited to: EC 1223/2009 (Cosmetic Products Regulation) REACH Regulation (EC) No 1272/2008 French AGEC Law & Decree (including Article L. 5232) EU 2019/1021 (Persistent Organic Pollutants Regulation) EC 10/2011 (Food Contact Materials, if applicable) EU 528/2012 (Biocidal Products Regulation) Compliance with PFAS-related restrictions Conduct or oversee evaluations including: Packaging safety assessments (chemical compatibility, leaching/migration analysis) Stability and microbial integrity checks related to packaging Substance screening for SVHCs, POPs, phthalates, PFAS, and other restricted substances Review, validate, and manage supplier documentation such as Safety Data Sheets (SDS), Certificates of Compliance (CoC), Declarations of Conformity (DoC), migration test reports, and recyclability data. Collaborate effectively with cross-functional teams and external vendors/suppliers to ensure timely document collation and verification. Guide, mentor, and support junior team members involved in packaging compliance activities. Qualifications Bachelor s degree in Chemistry, Packaging Engineering, or a related field. Minimum of 2 3 years of experience in the life sciences industry, preferably within a packaging department. Strong understanding of packaging development and raw material chemistry. Excellent communication skills, demonstrating effective, timely, and proactive engagement with internal teams and external suppliers. Critical thinking ability to ask relevant questions, avoid redundant steps, and leverage past learnings to improve processes. Be part of a team driving compliance and innovation in consumer product packaging across the EMEA region. Collaborate with diverse experts and suppliers to ensure the highest standards of safety and regulatory adherence. Grow your career in a dynamic and evolving life sciences environment. Interested? Apply now to contribute your expertise to packaging compliance excellence! Qualification : Bachelors degree in Chemistry, Packaging Engineering, or a related field

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

Sr. Software Sales Consultant / Manager (SaaS) Location: Bengaluru, India (In-Office) Experience: 8 13 years Job Type: Full-time | Permanent Role Category: Enterprise & B2B Sales Industry: IT Services & Consulting About the Role We re looking for a driven and experienced Senior Software Sales Consultant / Manager to lead our enterprise software sales efforts across North America and APAC markets. You'll be at the forefront of selling our next-gen cloud-based Quality Management System (EQMS) designed for industries like General Manufacturing, Life Sciences, and Automotive. If you're passionate about helping organizations digitally transform and thrive in a competitive landscape especially in compliance, quality, and process optimization we want to hear from you. What You ll Be Doing Sales Strategy & Execution Drive new business and manage existing accounts to exceed annual sales quotas Operate as a hunter, building a strong pipeline via assigned leads and self-sourced opportunities Manage the entire sales cycle: lead generation qualification business development deal closure Create success plans aligned with both individual targets and company revenue goals Client Engagement Build strong, multi-level relationships with decision-makers and influencers Understand customer pain points and map them to the value of our solutions Position our EQMS and complementary platforms to meet compliance, quality, and efficiency needs Sales Operations Keep CRM (Salesforce) updated with an accurate pipeline and forecast Collaborate with internal teams Product, Development, Support, Consulting to ensure a seamless customer experience Represent the company at industry events, trade shows, and webinars What You ll Bring Required Skills & Experience 8 13 years of successful experience in enterprise software sales (SaaS, cloud-based platforms, or EQMS/ERP/CRM) Prior experience with on-premise-to-cloud transitions is a big plus Strong working knowledge of Quality, Compliance, or Clinical Information Systems Ability to understand complex business workflows and demonstrate high-value software solutions Exceptional communication, negotiation, and presentation skills Proficiency in Microsoft Office Suite and familiarity with Salesforce CRM Self-starter with a strong sense of ownership and ability to work cross-functionally Education Bachelor s degree in Business, Engineering, or a related field Nice to Have Exposure to EQMS, ERP, MES, CRM, HCM, EPM, or BI/Analytics platforms Experience selling into regulated industries like Life Sciences, Pharma, or Automotive Multilingual skills (English is mandatory; additional languages are a bonus) Opportunity to work with an innovative SaaS product in a growing industry Access to top-tier clients and complex enterprise deals Fast-paced, collaborative, and learning-driven work culture Competitive salary and career progression based on performance Apply now and take the lead in shaping the future of quality and compliance software for global enterprises! Qualification : Bachelors degree in Business, Engineering, or a related field

Platform Engineer Location: Bengaluru, Karnataka, India Full-time partially remote About ColorTokens At ColorTokens, we empower businesses to stay operational and resilient in an increasingly complex cybersecurity landscape. Breaches happen but with our cutting-edge ColorTokens Xshield platform, companies can minimize the impact of breaches by preventing the lateral spread of ransomware and advanced malware. We enable organizations to continue operating while breaches are contained, ensuring critical assets remain protected. Our innovative platform provides unparalleled visibility into traffic patterns between workloads, OT/IoT/IoMT devices, and users, allowing businesses to enforce granular micro-perimeters, swiftly isolate key assets, and respond to breaches with agility. Recognized as a Leader in the Forrester Wave : Microsegmentation Solutions (Q3 2024), ColorTokens safeguards global enterprises and delivers significant savings by preventing costly disruptions. Our culture We foster an environment that values customer focus, innovation, collaboration, mutual respect, and informed decision-making. We believe in alignment and empowerment so you can own and drive initiatives autonomously. Self-starters and high-motivated individuals will enjoy the rewarding experience of solving complex challenges that protect some of world s impactful organizations be it a children s hospital, or a city, or the defense department of an entire country. Position Overview: Colortokens is looking for a Junior Platform Administrator to assist in managing, maintaining, and optimizing our NextGen Security Information and Event Management (SIEM) platform. The ideal candidate will support the day-to-day operations, help onboard customer log sources, troubleshoot integration issues, and provide technical assistance to the security operations team. This role is ideal for a motivated professional with 3+ years of experience in SIEM administration, security operations, or log management. Key Responsibilities: SIEM Platform Administration Assist in deploying, configuring, and maintaining the NextGen SIEM platform (e.g., Stellar Cyber, Splunk, Sentinel, QRadar, Chronicle, Exabeam). Perform basic updates and patches to ensure platform security and functionality. Monitor SIEM health, performance, and uptime under the guidance of senior administrators. Log Source Management Onboard new log sources and validate data ingestion. Help troubleshoot log ingestion, parsing, and formatting issues. Maintain log retention policies for compliance. Rule and Use Case Management Support the development and deployment of detection rules, correlation use cases, and alerts. Tune existing use cases to minimize false positives. Work closely with security analysts to refine alerting strategies. Integration and Automation Assist in integrating SIEM with other security tools (e.g., EDR, microsegmentation, vulnerability scanners). Work on basic automation tasks using scripting (Python, PowerShell) to enhance SIEM efficiency. Platform Security and Compliance Support role-based access control (RBAC) and platform security policies. Help ensure SIEM adheres to compliance standards like SOC2, ISO 27001. Participate in periodic security audits. Network Debugging & Troubleshooting Have a basic understanding of TCP/IP, networking concepts, and protocols. Assist in debugging network connectivity issues related to SIEM log ingestion. Use basic network troubleshooting tools. Collaboration and Support Work alongside SOC analysts, threat hunters, and security engineers. Provide basic technical support for SIEM users. Assist in training and documentation for security teams. Performance Monitoring and Optimization Monitor storage and indexing performance to ensure optimal operations. Report any performance issues to senior administrators. Contribute to platform health reports and alerting metrics. Incident Support Assist SOC teams in log analysis, incident response, and forensic investigations. Ensure log data is readily available for security incidents. Education and Certifications: Bachelor s degree in Computer Science, Information Security, or a related field. Certifications (Preferred but not mandatory): Splunk Certified User/Admin Microsoft Certified: Security Operations Analyst Associate QRadar Certification Any SIEM-related certification Experience: 3+ years of experience in SIEM administration, security operations, or log management. Hands-on experience with at least one SIEM platform (e.g., Stellar Cyber, Splunk, Sentinel, Chronicle, Exabeam). Basic knowledge of log ingestion, rule creation, and data parsing. Exposure to scripting (Python, PowerShell) for automation. Basic understanding of TCP/IP networking concepts and network debugging. Technical Skills: Understanding of log formats, Syslog, JSON, XML, and data pipelines. Basic knowledge of querying languages (KQL, SPL, AQL). Familiarity with SIEM integration with security tools like EDR, SOAR, NDR. Awareness of MITRE ATT&CK, NIST, or CIS security frameworks. Basic experience with network troubleshooting tools (ping, traceroute, netcat (nc)). Soft Skills: Strong problem-solving and troubleshooting abilities. Good verbal and written communication skills. Ability to work collaboratively in a security operations environment. Preferred Skills: Basic understanding of cloud-based security solutions (AWS, Azure, Google Cloud). Exposure to SOAR tools (e.g., Cortex XSOAR, Splunk Phantom). Interest in machine learning-based anomaly detection for SIEM. Key Metrics for Success: Successful onboarding of log sources. Improvement in log ingestion and parsing accuracy. Contribution to fine-tuning detection rules. Timely resolution of SIEM-related support requests. Ability to identify and troubleshoot basic network connectivity issues.

Position: Senior Data Scientist - AI Employment Type: Full-Time Location: Bangalore, Karnataka, India Experience Required: 2+ years Job Summary: 5C Network is developing multi-modal AI solutions for autonomous diagnosis of medical imaging. This role focuses on building and deploying advanced AI models using Computer Vision and Vision Language Models to analyze CT and MRI scans, helping detect, segment, and classify abnormalities. Key Responsibilities: Develop, train, and implement computer vision models, VLMs, and 3D models on CT and MRI imaging data. Collaborate closely with leading radiologists and AI researchers from India and the US. Work with product and engineering teams to deploy and operationalize AI models effectively. Contribute to cutting-edge research and assist in publishing findings in academic journals and conferences. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, or related fields. Proven experience in training and deploying deep learning-based computer vision models. Strong interest or experience in healthcare AI applications. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively in a research-driven, team-oriented environment. Technical Requirements: 2+ years of hands-on experience with deep learning. Proficient in Python and deep learning frameworks, especially PyTorch. Experience with well-known computer vision architectures (ResNet, DenseNet, U-Net, Vision Transformers, V-Net, etc.). Expertise in building deep learning architectures from scratch. Experience working with Large Language Models (LLMs) is a plus. Knowledge of model pruning, quantization, and scaling model training and inference on GPUs. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or related fields.

Job Title: Robotics Solution Engineer Location: Bengaluru Key Focus Areas: The ideal candidate will have experience and expertise in 40-60% of the following domains: Task Development: Breaking down complex robotic tasks (e.g., pick, orient, place) and designing efficient workflows. Simulation and Validation: Using advanced physics-based simulation tools to model and validate robotic systems and interactions. System Integration: Seamless integration of hardware, software, and sensors tailored to customer environments. Customer-Centric Solutions: Customizing robotic solutions to fit specific customer requirements and constraints. Foundational R&D and ML Development: Supporting research and machine learning algorithm development to enhance robotic perception, autonomy, and decision-making. Roles and Responsibilities: Physics-Based Simulation Development: Develop comprehensive physics-based models for robots, environments, and their interactions. Create and validate dynamic models involving rigid body dynamics, contact physics, material properties, and compliance, especially for multi-arm robotic systems. Build and maintain digital twins of physical robots and real-world environments. Algorithm Development & Implementation: Design, implement, and validate control and motion planning algorithms for multi-arm robots, focusing on manipulation and grasping. Optimize kinematics, dynamics, and force-based control strategies for real-time robotic applications. Support learning-based algorithm implementation for real-time perception and manipulation, including simulation-based testing and validation. Machine Learning Applications: Apply machine learning techniques to robotic perception and decision-making. Implement learning-based algorithms for perception and manipulation tasks. Testing, Validation & Optimization: Develop protocols to validate simulation accuracy by bridging virtual and real-world performance. Create automated test sequences and metrics for robust validation across various scenarios. Analyze simulation results to enhance system performance, safety, and reliability, suggesting design improvements. Collaboration & Cross-Functional Support: Work closely with controls engineers to validate and tune control systems in simulation. Collaborate with algorithm, software, and hardware teams to refine systems and resolve issues. Provide insights from simulation analyses to guide product improvements. Documentation & Reporting: Document simulation approaches, assumptions, and validation outcomes clearly. Prepare detailed reports on system performance, testing results, and optimization opportunities. Skills and Experience: Core Expertise: Advanced physics-based modeling and numerical simulation techniques. Deep understanding of robot kinematics, dynamics, and control theory. Experience with simulation validation and verification methodologies. Sensor modeling for cameras, force/torque sensors, etc. Motion planning algorithm knowledge. Familiarity with machine learning frameworks (PyTorch, TensorFlow) and real-time control implementation. Software & Tools: Experience with physics simulation platforms like NVIDIA Isaac Sim/Omniverse, CoppeliaSim, Mujoco, PyBullet, PhysX, Gazebo, or equivalents. Proficient in Python and C++ for scripting and automation tasks. Comfortable integrating CAD software and managing version control with Git. Engineering & Analysis: Skills in system dynamics modeling and error analysis. Developing test plans and performing root cause analysis. Conducting feasibility studies and model validation. Required Qualifications: Bachelor s or Master s degree in Robotics, Mechanical Engineering, or related fields. Minimum 3 years of professional experience in robotics engineering, with a focus on simulation and modeling. Strong foundation in robot kinematics, dynamics, and control systems. Proficient in Python and C++ programming. Experience with physics engines (PhysX, Bullet, PyBullet) and validating simulation results with real-world data. Preferred Qualifications: Master s or PhD in Robotics, Computer Science, or a related discipline. Hands-on experience with NVIDIA Isaac Sim/Omniverse or similar simulation platforms. Background in computer graphics, sensor modeling, and digital twin technologies. Qualification : Bachelors or Masters degree in Robotics, Mechanical Engineering, or related fields.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Senior Engineering Manager Bengaluru, India Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko Serko is a cutting-edge global technology platform transforming business travel and expense management. We unite passionate travelers and technologists through the world s leading business travel marketplace. Proudly an equal opportunity employer, Serko values diversity and inclusion to create an authentic workplace that drives positive change in the travel industry. With offices spanning New Zealand, Australia, North America, China, and now expanding in Bengaluru, India, we re building a world-class team to revolutionize corporate travel. Role Overview: Senior Engineering Manager Technology Leadership Serko is seeking a dynamic Senior Engineering Manager to join our Bengaluru hub. Reporting to the Head of Engineering, you will lead, mentor, and grow high-performing engineering teams of 35-50 members, ensuring optimal resourcing, delivery excellence, and alignment with company objectives. Your leadership will foster continuous learning, employee engagement, and innovation, playing a critical role in scaling Serko s global travel technology platform. Key Responsibilities Team Leadership & Development: Manage engineering teams focusing on recruitment, skill development, and performance management to meet company goals. Project Delivery: Support and guide delivery leads ensuring timely, high-quality project execution aligned with Serko s operating principles. Technical Strategy: Define and drive the technical vision and strategy for your teams, ensuring scalable, reliable, and secure platform architecture. Culture & Engagement: Cultivate a learning-focused environment that enhances employee retention and fosters professional growth. AI/ML Integration: Lead AI/ML initiatives for demand forecasting, recommendation engines, and real-time decision-making tools. Platform Scalability: Oversee cloud-native, microservices-based systems ensuring performance at high request rates (RPS). Community of Practice: Lead or contribute to technical standards and best practices across engineering teams. Qualifications & Skills 12+ years in software engineering with 8+ years managing large teams (20+) in distributed cloud environments. Proven leadership experience in scaling complex projects and managing high-performing engineering teams. Expertise in microservices, event-driven architectures (Kafka, RabbitMQ), and proficiency in Java, Python, Go, or .Net. Deep knowledge of cloud-native technologies including Kubernetes, Istio, and Terraform. Strong communication and interpersonal skills for cross-functional collaboration. Experience with learning frameworks and fostering continuous team development. Track record of driving platform scalability, reliability, and security at scale. Competitive Compensation: Attractive base salary with medical benefits and performance-based incentives. Career Growth: Access to continuous learning platforms and opportunities to shape your career trajectory. Flexible Work Environment: Encouraging work-life balance with flexible policies. Innovative Culture: Work alongside passionate teams dedicated to transforming global business travel technology.

Job Title: Machine Learning Engineer III Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a cutting-edge consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen reaches over 450 million smartphones worldwide, delivering personalized, context-driven content without requiring app downloads. Roposo redefines live streaming experiences with creator-led interactive content, and Nostra stands as the largest gaming platform in India and Southeast Asia, offering immersive gaming and social engagement. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we believe in empowering you to dream big, innovate boldly, and own your impact from day one. Collaborate with talented peers on mission-critical projects leveraging bleeding-edge technology to disrupt consumer experiences. Enjoy perks including daily meals, gym access, training sessions, state-of-the-art tech tools, and a family-friendly workspace where your kids and pets are always welcome. Role Overview We are seeking a skilled Machine Learning Engineer III passionate about designing, developing, deploying, and scaling high-impact ML solutions. You will partner closely with data scientists, engineers, and product teams to build end-to-end ML systems, microservices, and APIs that power AI-driven products on Glance s platforms. Key Responsibilities Architect and implement scalable ML solutions to accelerate experimentation, model building, and deployment. Develop microservices and APIs for serving machine learning models and services efficiently. Design, prototype, and build new ML/AI products and proof-of-concepts in collaboration with cross-functional teams. Explore and adopt new platforms, algorithms, and technologies to enhance ML capabilities. Manage project priorities, deadlines, and deliverables while maintaining transparent communication across teams. Take ownership of end-to-end ML engineering lifecycle from research collaboration to production deployment. Preferred Qualifications 5+ years of professional experience as a Machine Learning Engineer with a proven track record of delivering impactful ML solutions. Bachelor s, Master s, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields. Deep theoretical and practical knowledge of recommender systems, computer vision (CNNs), GPU optimization, and generative AI models. Proficiency in Python, Golang, Spark, and familiarity with popular data science and ML libraries. Strong background in advanced mathematics, statistics, and algorithmic problem solving. Excellent technical documentation skills and demonstrated leadership in driving cross-functional projects. Experience working in data science or research-oriented roles with a passion for solving complex challenges. Join Glance and contribute to building next-generation AI-driven consumer experiences. Apply now to be part of a visionary tech team in Bangalore! Qualification : Bachelors, Masters, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields.

Senior Product Manager Talent Management Location: Bangalore, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing how individuals connect with the right career opportunities. Using deep-learning AI, our Talent Intelligence Platform helps companies hire, retain, and grow a diverse workforce by focusing on skills and potential not just r sum s or networks. Backed by over $410M in funding and a $2B+ valuation, we are solving one of society s most pressing challenges employment. Join us on our mission to enable the right career for everyone in the world. The Opportunity We are looking for a Senior Product Manager to own and shape the vision, strategy, and roadmap for our Talent Management solutions. You will collaborate with internal teams and customers to build AI-powered products that empower companies to develop and retain their workforce more effectively. What You ll Do Own Product Strategy & Roadmap: Define and execute the product roadmap for Talent Management applications on the Eightfold platform. Drive Cross-Functional Alignment: Collaborate with engineering, design, sales, marketing, and customer success teams to ensure seamless product delivery. Engage with Customers & Stakeholders: Gather insights from enterprise clients, developers, and internal stakeholders to guide product decisions and prioritize features. Analyze Market & Competition: Monitor trends in talent management, workforce development, and HR tech to ensure product differentiation and innovation. Leverage AI: Integrate Eightfold s core AI capabilities to deliver intelligent, personalized talent solutions. Champion Product Excellence: Use data to measure impact, refine product direction, and ensure high-quality delivery and adoption. 5+ years of experience in Product Management, ideally in enterprise SaaS, HR tech, or workforce solutions. A strong technical foundation and ability to work closely with engineering teams on architecture, APIs, and data models. Experience launching and scaling complex B2B products. Proven success in developing and executing product strategies in fast-paced environments. Excellent communication and stakeholder management skills. Passion for Eightfold s mission of transforming the future of work through AI. Preferred Qualifications Background in HR Tech, Talent Management, or Enterprise Software. Familiarity with platforms serving large enterprise clients. Data-driven mindset with experience using analytics to guide product decisions. Why You ll Love Working Here Purpose-Driven Mission: Help build a world where everyone finds the right career opportunity. Equity Ownership: Be a true stakeholder in Eightfold s success. Comprehensive Benefits: Competitive salary, stock options, medical, dental, and vision coverage for you and your family. Hybrid Flexibility: Work from our Bangalore office 2 3 days per week while enjoying flexibility for remote days. Growth Culture: A collaborative, learning-oriented environment with top-tier leadership and global impact. Equal Opportunity Employer Eightfold.ai is proud to be an equal opportunity employer and is committed to fostering a diverse and inclusive workplace. We welcome candidates from all backgrounds and experiences. Apply Now If you re ready to help shape the future of talent and employment through cutting-edge AI, we d love to hear from you. Qualification : Background in HR Tech, Talent Management, or Enterprise Software.

Machine Learning Engineer - Speech AI (ASR & TTS) Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. We specialize in leading transformative research and development in speech and language technologies. Focused on building state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models, particularly for Indic languages, we aim to redefine human-computer interaction with cutting-edge, AI-driven solutions. Join us as we push the boundaries of Speech AI to create inclusive, scalable, and intelligent voice-based applications for diverse communities worldwide. Role Overview We are seeking an experienced Machine Learning Engineer specializing in Speech AI (ASR & TTS). The ideal candidate will work on deep learning-based ASR and TTS models, improving accuracy, efficiency, and multilingual capabilities while deploying them at scale. The role involves developing and optimizing speech recognition and synthesis models with a focus on low-resource languages, real-time inference, and scalability. If you have a passion for speech processing and deep learning, this is a great opportunity to make a significant impact in a rapidly growing field. Key Responsibilities ASR (Automatic Speech Recognition) Develop, train, and optimize speech-to-text models using state-of-the-art architectures like Wav2Vec, Whisper, Conformer, and DeepSpeech. Implement techniques for low-latency ASR inference, including beam search, language model integration, and real-time transcription. Improve speech recognition accuracy for low-resource languages, especially Indic languages, using transfer learning and data augmentation. Optimize ASR pipelines for noise robustness, speaker adaptation, and domain-specific transcription. TTS (Text-to-Speech) Develop and fine-tune neural TTS models such as Tacotron, FastSpeech, VITS, or WaveNet for high-quality, natural-sounding speech synthesis. Implement multilingual and expressive TTS models with prosody and emotion control. Optimize TTS inference for deployment on edge devices, mobile, and cloud platforms. Improve speech synthesis quality through voice cloning, neural vocoders (HiFi-GAN, WaveGlow), and prosody modeling. General Speech AI Responsibilities Benchmark and profile ASR/TTS models to improve latency, efficiency, and deployment performance. Deploy scalable speech AI APIs on AWS, Azure, or GCP for real-world applications. Optimize ASR & TTS models for edge and offline inference. Stay updated with the latest advancements in speech AI, neural vocoders, and real-time inference techniques. Must-Have Qualifications Experience: 2-3 years of experience in speech AI, deep learning, or machine learning, with a focus on ASR & TTS. Education: Bachelor s or Master s degree in Computer Science, AI/ML, Speech Processing, or a related field. ML Frameworks: Proficiency in PyTorch or TensorFlow for training and deploying ASR/TTS models. ASR Expertise: Experience with speech-to-text architectures like Whisper, Wav2Vec, Conformer, or DeepSpeech. TTS Expertise: Experience with speech synthesis models like Tacotron, FastSpeech, or VITS. Speech Signal Processing: Understanding of MFCCs, STFT, phonemes, prosody modeling, and feature extraction. Inference Optimization: Hands-on experience with TensorRT, ONNX, or quantization (INT8, FP16) for ASR/TTS. Cloud & Edge Deployment: Experience deploying speech models on AWS, GCP, or Azure. Preferred Qualifications Experience with speech diarization, speaker recognition, or language modeling for ASR. Familiarity with zero-shot TTS, voice cloning, and multilingual speech modeling. Understanding of CUDA optimization and low-bit quantization for ASR/TTS models. Contributions to open-source speech AI projects or a strong GitHub portfolio showcasing relevant work. Experience with real-time streaming ASR/TTS applications and low-latency inference. Innovative Impact: Work on AI-driven speech solutions that are changing how people interact with technology, especially in low-resource languages. Cutting-Edge Technology: Contribute to the development of state-of-the-art speech AI models in a rapidly advancing field. Collaborative Environment: Work with a team of experts in AI, machine learning, and speech processing, in a startup culture. Growth Opportunities: Sarvam.ai offers exciting career growth in a fast-paced environment with opportunities for personal and professional development. Interested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub links showcasing their experience in ASR, TTS, or Speech AI. Strong AI-related projects, whether in industry, research, or personal work, will be highly valued. Qualification : Bachelors or Masters degree in Computer Science, AI/ML, Speech Processing, or a related field.

Product Marketing Manager, India Location: Bangalore, India Full Time Company: Meta Meta is looking for a Product Marketing Manager to drive the adoption and growth of advertising solutions for customers across Facebook, Instagram, WhatsApp, and future Meta applications. The ideal candidate will have experience partnering closely with product and sales leaders to deliver successful product revenue and product adoption programs within a fast-paced digital marketing environment. The Product Marketing Manager will independently lead strategic planning and execution in support of channel marketing efforts, representing the full product roadmap and Meta s suite of products and solutions to external clients and partners. Success in this role requires a deep understanding of the advertising market and Meta s advertising products, as well as strong client service skills and the ability to work effectively in a dynamic, cross-functional, and distributed team environment. The ideal candidate will also have experience influencing stakeholders within the organization, including product and sales leaders around the world. Responsibilities: Become the product go-to-market expert for priority ad products and drive product growth and adoption for large advertisers in India. Strategically drive business performance and product adoption goals by managing executive-level relationships and navigating internal and external stakeholders to align and drive execution. Plan and execute local go-to-market strategies including delivering product trainings, client segmentation, product positioning, and creating compelling narratives to drive business outcomes. Partner with cross-functional teams to conduct tests, validate proof points for key products, and scale successful learnings. Act as the voice of the market to global product teams, influencing product strategy and roadmapping by providing market feedback and data-backed insights. Minimum Qualifications: BA/BS degree or equivalent. 6+ years of professional experience in product marketing and digital advertising or related fields. Proven track record of setting priorities, problem-solving, and independently executing on strategic initiatives. Experience influencing stakeholders at various levels, including cross-functional teams and C-level executives. Experience working in a fast-paced, entrepreneurial environment, with the ability to adapt quickly and escalate issues as needed. Strong communication and interpersonal skills, with a commercial and data-driven mindset. Experience conducting market research, analyzing data, and building business cases to influence product management decisions. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since the launch of Facebook in 2004, Meta has revolutionized social connectivity. With apps like Messenger, Instagram, and WhatsApp, Meta has empowered billions of users worldwide. Now, Meta is moving beyond traditional 2D screens to create immersive experiences in augmented reality and virtual reality, paving the way for the next evolution in social technology. Join Meta and help us shape the future of digital connection beyond the constraints of screens, distance, and even the rules of physics! Equal Employment Opportunity: Meta is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other legally protected characteristics. Qualification : BA/BS degree or equivalent.

Job Title: Full Stack Developer Location: Bengaluru Experience: 3-8 Years Job Overview We are looking for a skilled Full Stack Developer who is ready to take on the challenge of conceptualizing and implementing next-generation technology changes for our platform. The ideal candidate will possess strong coding abilities, deep knowledge of web technologies, and the ability to translate business needs into scalable, high-performance solutions. You will work directly with senior members, collaborating on the architecture and development of large-scale applications, ensuring smooth delivery from conception to deployment. Key Responsibilities Technology Analysis & Implementation: Analyze specifications and business needs to determine appropriate technologies and configurations to meet requirements. Translate storyboards and use cases into functional applications. Hands-on Coding & Architecture Design: Be responsible for hands-on coding, system analysis, design, and determining the best application architecture. Maintain coding standards and ensure scalable, high-performance solutions. Web Technologies Expertise: Utilize HTML5, CSS3, JavaScript, and other modern web technologies to develop and build large-scale web applications. Focus on building responsive user interfaces that seamlessly work across mobile, tablet, and desktop platforms. Cross-Browser Compatibility: Ensure the applications are cross-browser compatible and adhere to web design constraints. Troubleshoot and resolve compatibility issues across various browsers and platforms. Responsive UI Development: Build and optimize responsive interfaces for modern web applications, ensuring they deliver an excellent user experience across devices. Project Management: Manage multiple projects effectively, breaking them into modules and milestones. Provide timelines, delegate tasks, monitor progress, and update stakeholders. Ensure projects are delivered on time and according to specifications. Collaboration & Communication: Collaborate with cross-functional teams to align on product requirements and design specifications. Provide regular updates to internal and external stakeholders regarding project status, progress, and any issues. Customer Engagement: Address client escalations in a timely, effective manner and respond to customer concerns promptly. Ensure customer satisfaction by delivering high-quality solutions. Cost-Effective Solutions: Identify the most cost-effective solutions to meet customer specifications, ensuring a balance between quality, time, and cost. Skills & Qualifications OOPs Concepts: Solid understanding and experience with Object-Oriented Programming (OOP) principles. Web Technologies: Proficiency in HTML5, CSS3, and JavaScript. Extensive knowledge of building large-scale, responsive web applications. Cross-Platform & Browser Compatibility: Expertise in ensuring cross-browser compatibility and handling design constraints on the web. Project Management: Ability to break down projects into manageable tasks, provide clear timelines, and coordinate with team members to ensure successful project completion. Systems Analysis & Design: Hands-on experience in system analysis and architecture design, with the ability to propose scalable, high-performing solutions. UI Development: Experience building and optimizing responsive user interfaces for mobile, tablet, and desktop platforms. Communication: Strong communication skills to effectively communicate technical and project-related information to internal teams, clients, and stakeholders. Customer-Focused: Strong problem-solving skills and a customer-first approach, ensuring client satisfaction through timely and effective solutions. Innovative Projects: Be a part of a dynamic team and contribute to cutting-edge projects that shape the future of our platform. Growth Opportunities: We offer a learning-friendly environment with opportunities for career growth and professional development. Collaborative Culture: Work in a collaborative and supportive environment where your contributions are valued and celebrated. Work-Life Balance: We promote a flexible working environment that supports work-life balance. If you're a skilled Full Stack Developer with a passion for creating high-quality applications, we would love to hear from you. Let's celebrate work together!

What Makes Us a Great Place to Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With Vector is Bain s integrated digital and analytics capability, bringing together Enterprise Technology and AI, Insights & Solutions (AIS) to deliver cutting-edge innovation. AIS, formed through the merger of Bain's Advanced Analytics and Innovation & Design teams, is a diverse group of experts in analytics, engineering, product management, and design. Together, we create human-centric solutions that leverage the power of data and artificial intelligence to drive competitive advantage for our clients. As part of AIS, the India-based Center of Excellence (COE) specializes in delivering Generative AI (Gen AI) and advanced engineering solutions for our clients globally. The COE will also lead the charge on building solution accelerators for our clients. What You ll Do As a Manager, AIS Software Engineering, you will lead the development and application of technical solutions to address complex problems in various industries. You will guide a diverse engineering team through the entire engineering lifecycle while collaborating with remote and distributed teams, including both technical and consulting teams across the globe. Your responsibilities will include designing, developing, optimizing, and deploying cutting-edge software engineering solutions and infrastructure at the production scale required by the world s largest companies. Collaboration: Work closely with colleagues in the AIS COE (e.g., data scientists, ML engineers, software engineers, platform engineers) to build software solutions that solve clients business problems. Technical Leadership: Serve as the overall technical leader, providing deep expertise in software engineering, distributed systems, AI, and application architecture design. Lead the development and delivery of end-to-end solutions for client cases. Development Lifecycle: Lead key parts of the software development life cycle, including architecture design, writing clean code, conducting code reviews, writing documentation, and identifying issues and resolutions. Framework Development: Collaborate on (or lead) the development of re-usable common frameworks, models, and components to address common software engineering problems across industries and business functions. Best Practices & Innovation: Drive best practices in software engineering and share learnings with team members in AIS. Promote industry-leading innovations to create significant client impact. Team Management: Contribute to creating a great working environment that attracts talented engineers. Act as a PD Advisor as needed and support recruiting and onboarding new team members. Travel Requirements: Minimum travel, based on project needs and training opportunities. About You Education & Experience: Bachelors/Master s degree in Computer Science, Engineering, or a related technical field. 8+ years of hands-on experience in web development, programming languages, version control, software design patterns, infrastructure, deployment, integration, and unit testing. 3+ years of experience managing software engineers. A proven track record of leading a team and collaborating on strategic initiatives, with experience in shipping production applications and software analytics products. Technical Expertise: Expert knowledge (5+ years) of Python. Deep experience with server-side frameworks and technologies such as FastAPI, Node.js, Flask. Familiarity with cloud platforms like AWS, Azure, or GCP. Strong understanding of software architecture, DB design, scalability, and SQL, with experience in RDBMS (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra, Elasticsearch). Experience with client-side technologies such as React, Vue.js, HTML, and CSS. Familiarity with DevSecOps principles, CI/CD tools, MLOps, LLMOps, and infrastructure as code (Jenkins, Docker, Kubernetes, Terraform). Knowledge of software security, privacy regulations, and cybersecurity. Soft Skills: Strong interpersonal and communication skills, including the ability to explain technical concepts to colleagues and clients from other disciplines. Curiosity, proactivity, and critical thinking. Ability to collaborate effectively with people at all levels and with multi-office/region teams. Ability to work independently, manage multiple priorities, and thrive in a fast-paced and ambiguous environment. About Us Bain & Company is a global consultancy that helps the world s most ambitious change makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performa...

Location: Bengaluru, India Role: Cybersecurity Analyst Company: Wipro Limited In a world where data is power, protecting that data is a mission, not just a job. As a Cybersecurity Analyst at Wipro, you ll be the guardian of sensitive information, spotting threats before they strike and building a resilient security posture for the organization. What You ll Do 1 Keep Customers Safe Deliver customer-centric cybersecurity, ensuring systems are fortified and risks are minimized. Monitor logs, security events, and access patterns to detect unusual, unauthorized, or illegal activity. Safeguard log sources, security configurations, and access controls. 2 Hunt, Analyze & Respond Track, analyze, and respond to security incidents escalated by L1 teams (24x7 rotational shifts). Perform log reviews and forensic analysis to understand unauthorized access or breaches. Use advanced analytics tools to identify emerging threat patterns. Conduct detailed root cause analysis and recommend specific, actionable improvements. 3 Be the Incident Commander Lead incident response efforts, coordinating with internal teams and customers for swift resolution. Plan and refine disaster recovery strategies for potential breaches. Create incident reports, dashboards, and analysis summaries to share insights and learnings. 4 Collaborate & Educate Work closely with internal technical leads, practice teams, and external customers to manage security concerns. Assist with internal and external audits, maintaining the information security risk register. Deliver cybersecurity awareness training for colleagues, turning every employee into a security ally. Provide hands-on advice and guidance on handling malicious emails, phishing attempts, and suspicious activity. Key Relationships Stakeholder Why You ll Work Together Internal Tech & Project Leads Regular updates, security reporting, coordination Security Intelligence Team For threat intelligence sharing and practice alignment Customers Direct support during incidents, ensuring transparency & fast resolutions What You Need to Succeed Technical Mastery Deep knowledge of Network Security devices, Firewalls, Endpoints, SIEM, Application Security, IDS/IPS, Vulnerability Assessments & Penetration Testing (VA/PT). Process Excellence Solid understanding of standards, processes, and automation tools to improve consistency and reduce risk. Communication & Collaboration Clear, effective communication skills you ll be the go-to person for explaining security risks to both techies and non-techies. How Your Success Will Be Measured Performance Area Measure Customer Focus Fast, effective resolution of security incidents for internal & external users Process Adherence 90-95% SLA compliance for response & resolution times Key Competencies Effective Communication Collaborative Working Execution Excellence Analytical Thinking & Problem Solving Reinvent Cybersecurity With Wipro This isn t just a job it s your chance to reinvent how organizations protect themselves in a rapidly evolving threat landscape. Join Wipro. Own the mission. Protect the future. Applications from people with disabilities are explicitly welcome.