AI Roadmap Jobs in Hyderabad

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.

Principal AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role We are hiring a Principal Software Engineer to lead critical initiatives for the flagship Microsoft 365 Copilot App on Windows. Join our high-caliber team in India working at the forefront of AI innovation. You will be a key contributor to building AI-powered features that enhance productivity and collaboration across platforms, including Windows, Mac, Android, iOS, and web. Microsoft 365 Copilot is a transformative AI assistant already used by over 100 million users globally. This is a unique opportunity to impact billions of lives and shape the future of AI-powered productivity at scale. Key Responsibilities Design and implement robust, scalable features for the Windows-based Microsoft 365 Copilot application. Ensure feature integration aligns with overall product architecture and design principles. Develop and maintain automation, write test plans, and provide accurate task estimates. Embrace team-wide best practices for quality, security, and performance. Demonstrate strong ownership, accountability, and a continuous learning mindset. Collaborate across global teams including Product, Design, QA, and Engineering stakeholders. Participate in agile sprints and the full software development life cycle (SDLC). Required Qualifications Bachelor s degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience. Proficiency in one or more programming languages: C, C++, C#, Java, JavaScript, Python. Strong customer-centric mindset and a passion for delivering high-impact experiences. Excellent problem-solving skills and ability to work in fast-paced, ambiguous environments. Outstanding communication and cross-functional collaboration abilities. Preferred Qualifications 10+ years of industry experience OR Master s degree in Computer Science with 8+ years of experience. Background in Office technologies or experience developing for Windows, iOS, Android, or Mac platforms. Familiarity with cloud technologies and services, preferably Microsoft Azure. Hands-on experience with agile methodologies and large-scale commercial software products. At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We value integrity, respect, accountability, and inclusion. As part of our team, you will be immersed in a culture of innovation and growth where everyone can thrive. Work with Purpose This role offers a once-in-a-career opportunity to work on cutting-edge AI technologies that will redefine how people interact with productivity software. If you are passionate about AI, Windows platforms, and building scalable, elegant, and secure solutions, we want to hear from you. Qualification : Bachelors degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience.

Engineering Manager - Platform Location: Hyderabad, India. We re revolutionizing the integration industry and we want you to join us! Our core mission at Celigo is simple: To make automation of business processes as simple as possible by enabling anyone in the enterprise to build or deploy integrations across thousands of cloud applications. You get the best of both worlds: a high energy driven start-up culture with a company that has established itself in the dynamic high growth iPaaS market with thousands of value driven customers. Your Role Celigo is looking for an experienced Engineering manager to lead one of our Platform teams. Our platforms are built to be highly available and scalable supporting large-scale transactions. Our criteria of a successful engineering leader is one who understands the business landscape, is excited to work with people, highly collaborative, energetic, passionate about our product & our customers, and at the same time technically strong & loves technology. You will manage and lead a team of high-caliber developers working on one of our important platform areas. We expect our Engineering Managers to be customer focused, have an excellent grasp on business priorities, and be able to translate the team s contributions to tangible business value for our company. They are passionate about hiring & grooming high quality talent, keeping them focused & motivated and representing the team to leadership. They should possess stellar delivery execution skills, build good relationships with Product Management, have a good understanding of ROI, manage the technical team s roadmap and keep technical debt under control. Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline (EEE, ECE). 12+ years of total experience in Software Product Development with at least 6 years of team management experience in leading. Experience building and leading team(s) of high-caliber software engineers. Must have successfully delivered complex, demanding projects for large scale SaaS product(s). Experience working in an Agile development environment. Experience playing the scrum master for at least one year is preferred. Excellent communication skills both verbal and written. Strong organizational and time management skills. Experience with full product life cycle including post production release support. Experience working with multiple functions including but not limited to Product Management, Program Management, Quality Assurance, UI/UX design teams, Documentation, Customer Success teams (including Support). Should be experienced in Software Engineering best practices including coding standards, code-reviews, Source Control, CI/CD, Testing, Security Standards, Compliance. Ability to handle ambiguity and comfortable working with minimal specifications. Drive the execution and delivery of features by collaborating with program managers, product owners, engineers (Dev & QA), architects and other cross-functional teams. Collaborate with Product Managers to align on business objectives, priorities, trade-offs and assess risks, if any. Take critical decisions for the team whenever required to result in a successful product delivery. Should foresee issues and prevent/resolve them at the earliest opportunity. Work following Agile development methodologies using various related tools, like JIRA. Ensure the team is motivated, focused, clear on priorities and have all the needed resources for successful execution. Should encourage and be a role-model for the team to go above and beyond. Represent the team in business related discussions and articulate business values of the team s contributions in larger business-focused forums and/or to senior management. Drive technical excellence and high quality deliverables. Should constantly think for the future by building the right infrastructure at the right time. Provide guidance, career development and coaching to team members. Participate in planning, architecture, and design discussions. Collaborate with cross-functional teams for coordination, planning, design decisions, and reviews. Is passionate about making a world-class software organization. Has experience building large-scale distributed platforms either as part of a team or must have managed a team building them. Enjoys a fast-paced environment, working with a highly-talented team and shifting priorities. Has excellent problem solving and analytical skills. Is great at making data-driven decisions; should use appropriate metrics and report using them in Executive/senior leadership meetings. Is comfortable in designing and implementing new processes (or) modify existing processes internally to improve the efficiency of the team. Has the ability to build strong relationships with stakeholders and key partners for the program. Has strong business and technical vision. Can stay abstract or detail oriented as the situation demands. Has demonstrated the ability of thinking big, bringing new ideas, building teams & infrastructure for the future. Learns quickly; must know when to listen, and when to take charge. Qualification : Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline (EEE, ECE).

Job Title: Senior Product Manager/Strategy Company: Oracle Location: Hyderabad Position Summary Oracle is seeking a Product Manager for its Oracle Insurance Policy Administration (OIPA) product within the Life & Annuities insurance space. OIPA is a leader in the market for life insurance policy administration, offering scalable and flexible solutions for life insurers. As a Product Manager, you will lead the full lifecycle of these products, from ideation through to market launch, working closely with cross-functional teams to deliver customer-centric solutions. Key Responsibilities Product Leadership: Own the end-to-end product lifecycle for Life & Annuities insurance solutions. Define and execute the product strategy, roadmap, and vision, aligning with organizational goals and market needs. Collaborate with cross-functional teams (engineering, design, marketing, sales, operations) to deliver innovative, scalable solutions. Industry Expertise: Possess deep knowledge of Life & Annuities insurance products (term life, whole life, universal life, annuities, riders). Lead the design of product templates and configurations for streamlined implementation. Stay updated on regulatory, market, and technological trends to anticipate changes and opportunities. Innovation with GenAI: Explore and implement Generative AI-driven solutions to enhance product personalization, underwriting, customer service, and claims management. Work closely with data science and engineering teams to develop AI-enabled tools and bring innovative solutions to market. Stakeholder Communication: Present complex ideas and strategies to stakeholders, clients, and executive leadership in a compelling manner. Develop persuasive product documentation, including business cases, product requirements, and technical specifications. Represent Oracle at industry events, conferences, and client meetings. Implementation Expertise: Leverage experience in implementing Life & Annuities insurance products across various platforms. Work with delivery teams to ensure seamless product launches and customizations. Additional Responsibilities: Gather and document business requirements for new enhancements. Collaborate with product teams to develop user stories, UI mock-ups, and solicit user feedback. Work with sales and marketing teams to develop product collateral and maximize product adoption. Conduct presentations and training sessions to internal stakeholders, customers, and partners. Ideal Candidate Qualifications/Skills Education: Bachelor s or Master s degree in Commerce, Business, or Computer Science from a reputed college/university. Experience: At least 8 years of relevant experience with a minimum of 6 years in Life & Annuities insurance. Industry Expertise: Strong experience in designing or implementing Life & Annuities insurance products. Solutioning Skills: Proven track record of delivering client-focused solutions and managing implementation plans. Project Management: Ability to manage multiple projects, deadlines, and priorities in a fast-paced environment. Collaboration: Strong organizational skills and the ability to work effectively across cross-functional teams. Self-Starter: Proactive, results-driven with a focus on continuous improvement and staying updated with emerging market trends and technologies. Certifications: Any certifications in the Life Insurance domain are a plus. Preferred Skills Experience with Generative AI applications in insurance. Strong leadership and communication skills to engage internal and external stakeholders. Prior experience with insurance policy administration systems. Qualification : Bachelors or Masters degree in Commerce, Business, or Computer Science from a reputed college/university.

Role Overview: We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will possess a strong technical background, proven leadership experience, and expertise in building scalable, resilient, and secure applications. In this role, you will lead the design, development, and deployment of backend services, collaborating with cross-functional teams to deliver impactful solutions. Key Responsibilities: Lead design and development of applications using microservice architecture to ensure scalability, resilience, and high performance. Develop and maintain FastAPI-based backend services, optimizing for scalability and reliability. Implement best practices for logging, monitoring, health checks, and error handling to ensure robust service performance. Optimize code quality, security, and performance across the development lifecycle. Utilize containerization technologies (e.g., Docker, Kubernetes) for efficient application deployment and management. Collaborate with cross-functional teams to define, design, and implement new features that align with business objectives. Establish and manage CI/CD pipelines to automate deployment and ensure consistent, efficient delivery of software. Adhere to API design and development best practices, ensuring high-quality and secure services. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana) for performance tracking and proactive issue resolution. Ensure adherence to version control systems (e.g., Git) and best practices in collaborative workflows. Qualifications: Proven experience in leading technical teams and developing applications using microservice architecture. Proficiency in Python and FastAPI for building robust and scalable backend services. Deep understanding of Pydantic for data validation in FastAPI. Experience with containerization technologies such as Docker and Kubernetes for efficient application deployment. Familiarity with CI/CD pipelines and automation tools to streamline the development and deployment process. Strong knowledge of API design and implementation best practices, ensuring high-quality and secure integrations. Experience with monitoring and logging tools like Prometheus and Grafana. Strong understanding of security best practices in microservices-based applications to ensure data integrity and confidentiality. Nice to Have: Experience with Retriever models, including the implementation of chunking strategies. Familiarity with vector databases and their relevant use cases in AI-driven applications. Understanding of optimal approaches for querying LLM models via API. Experience with prompt engineering and strategies for effective interaction with LLMs. Exposure to various prompt engineering techniques in different AI scenarios. At Blend, we believe in the transformative power of AI, combined with human expertise, to create meaningful impacts. Join our team and contribute to cutting-edge technology projects that shape the future of AI and innovation. Enjoy a culture that fosters collaboration, growth, and creativity while working alongside some of the brightest minds in the industry.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Why Verizon: At Verizon, we empower our employees to innovate, grow, and make an impact. Our V Team thrives on a culture of inclusivity, collaboration, and bold ideas. Whether in crisis or celebration, we come together to lift our communities and create a meaningful difference. When you join Verizon, you join a team committed to driving technology and shaping the way the world lives, works, and plays. Role Overview: As the Director of Software Development, you will be at the forefront of driving AI-driven innovation within the Verizon Business Group s (VBG) service domain. This role requires a deep understanding of digital and agent experiences, as well as expertise in infusing AI across service journeys. You ll lead a talented team to develop and maintain experience platforms while delivering cutting-edge business solutions. Key Responsibilities: Leadership & Team Building: Build and lead a highly motivated, skilled team of digital innovators. Coach, train, and mentor team members to achieve subject matter expertise. Hire and develop high-performing talent to support strategic goals. Strategic Planning & Execution: Oversee architecture, development, and maintenance of Experience Platforms (SOEs) handling VBG service requests. Drive AI solutions to enhance business value in the service domain. Collaborate with cross-functional teams to establish goals and deliver business outcomes. Solution Design & Implementation: Design intuitive, scalable solutions aligned with AI standards. Partner with AI&D teams to define use cases for VBG customer service management. Benchmark architecture and coding standards against industry best practices. Market & Industry Insight: Analyze emerging technologies and trends to reimagine service experiences. Stay ahead of industry advancements to keep Verizon at the forefront of innovation. Decision-Making Authority: Act independently within your area of responsibility, managing budgets and resources. Qualifications: Basic Requirements: Bachelor s degree or equivalent technical qualification. Ten or more years of relevant experience demonstrated through work or specialized training. Proficiency in Spring Boot, React, and Python. Expertise in engineering data and extracting insights using AI/ML techniques. Two or more years of experience in developing and deploying AI models in production. Strong understanding of technology selection, architecture, and full-stack implementation. Proven ability to manage multiple projects and meet tight deadlines in a dynamic environment. Preferred Qualifications: Five or more years of experience in the telecom network domain. Leadership experience managing diverse global teams. Industry recognitions, patents, or published papers. Active participation in professional bodies or standards organizations. Qualification : Bachelors degree or equivalent technical qualification

What You ll Be Doing: As a Lead Software Engineer, you ll spearhead the design and development of the M2M Management Center platform, a scalable solution connecting customers to Verizon s extensive global network. Your role will involve: Collaboration: Partnering with internal and external teams to define release content, ensuring the platform meets evolving competitive demands. Leadership and Mentorship: Guiding software engineering teams focused on web and API development. Mentoring team members to ensure timely, high-quality product delivery. Architecture and Documentation: Documenting architectural guidance to ensure platform scalability and performance. Overseeing systems and service architectures. Strategic Execution: Driving platform strategy, coordinating with cross-functional teams, and ensuring successful implementation. Continuous Innovation: Adhering to industry standards, exploring emerging technologies, and driving improvements in infrastructure, applications, and processes. Where You ll Work: This hybrid role combines remote work with assigned in-office days, offering flexibility and collaboration. What We re Looking For: Must-Have Qualifications: Bachelor s degree or six or more years of relevant work experience. Six or more years of experience with: Java Development, including design and architecture. Test Data Management tools and processes. Preferred Qualifications: A degree in Computer Science or Computer Engineering. Proven experience in: Developing scalable web applications with Java Spring, AWS, Kubernetes, and database programming. Leading software development projects and teams. Handling high-pressure customer or end-user requests. Performance tuning and ensuring application scalability. Strong hands-on knowledge of databases like Oracle, Cassandra, and DB2 DBA Programming. Experience or interest in Machine Learning (ML) and Generative AI (Gen AI) development. Familiarity with Agile and Waterfall project management methodologies. Why You ll Succeed Here: You re a visionary leader driven by innovation and results. Your ability to simplify technical concepts and inspire your team will foster collaboration and efficiency. You excel in fast-paced environments, balancing multiple priorities without compromising deadlines or quality. Qualification : Bachelors degree or six or more years of work experience

Why Verizon: At Verizon, we believe in empowering our employees to think freely and share bold, innovative ideas. We strive to create an environment where everyone can learn, grow, and thrive. Our mission is to connect people to what brings them joy and to drive innovation that impacts the world. Join the V Team, a community of forward-thinkers, where your contributions help shape the future of technology and positively impact communities around the globe. Role Overview: We are seeking a Director of Software Development for Verizon Business Group s Global Technology Solutions (GTS) team in India. The role focuses on driving AI-powered solutions across the service journey, specifically within digital and agent experience domains. You will lead the development and maintenance of experience platforms, utilizing AI solutions to enhance service interactions and improve business outcomes. As a key leader, you will be responsible for building and leading a high-performing team, influencing cross-functional partners, and communicating the vision for Verizon s AI-infused service solutions. This role requires a strong background in architecture, AI integration, and technical leadership, along with the ability to drive innovation and deliver results in a fast-paced, customer-focused environment. Key Responsibilities: Leadership & Team Management: Lead and mentor a talented team focused on delivering high-quality AI-driven service solutions. Hire, train, and inspire a team of digital innovation experts. Collaborate with cross-functional teams, ensuring effective communication and alignment with Verizon Business Group leadership. AI & Service Experience Development: Responsible for the architecture, development, and maintenance of experience platforms handling service requests for VBG. Design solutions in line with AI standards, creating an intuitive experience across all service channels. Propose and implement AI-powered strategies to address business challenges and enhance service offerings. AI/ML Integration: Engineer data-driven insights from large datasets using AI/ML techniques. Lead the development and deployment of AI models in production, ensuring the seamless integration of these models into the service platform. Strategic Partnerships & Industry Benchmarking: Partner with global teams and strategic partners to deliver committed business outcomes. Benchmark against industry best practices and collaborate with AI&D teams to define service management use cases for VBG customers. Innovation & Continuous Improvement: Analyze trends and emerging technologies to reimagine and improve the service experience. Facilitate cross-functional ideation sessions to develop solutions that streamline omni-channel processes and enhance digital experiences. Executive Reporting & Collaboration: Regularly review critical projects with executive leadership and provide updates on progress. Work closely with leadership teams to ensure business goals are met through innovative service solutions. Qualifications: Education: Bachelor s degree or equivalent technical qualification. Experience: 10+ years of relevant experience in software development and AI solutions. Proficiency in Spring Boot, React, Python, and AI/ML techniques for data engineering and insights generation. 2+ years of experience in deploying AI models to production. Proven experience in technology leadership, including architecture design, technology selection, and full-stack implementation. Skills & Expertise: Strong problem-solving skills with the ability to manage multiple projects and meet deadlines in a fast-paced, dynamic environment. Experience identifying opportunities and facilitating cross-functional collaboration to improve digital experiences and streamline service processes. Experience in the telecom network domain is a plus. Demonstrated leadership experience, including managing diverse global teams and driving AI initiatives. Industry recognition, participation in standards/professional bodies, and patents/publications are beneficial. Desired Skills: Leadership in Global Teams: Previous leadership in a global setting is highly desirable. Telecom Network Domain Knowledge: At least 5 years of experience in the telecom network domain is preferred. Certifications & Recognitions: Industry certifications, patents, or published papers are an added advantage. What Verizon Offers: This role offers an exciting opportunity to shape the future of AI-powered service experiences within one of the top 20 Fortune 500 companies. You will be part of a collaborative, innovative environment that values continuous learning and growth. With Verizon, you can expect a work culture where your contributions truly matter, helping to drive both technological advancement and customer satisfaction. Where You ll Be Working: This is a hybrid role, offering a defined work location with the flexibility of working from home and assigned office days as determined by your manager. Qualification : Bachelors degree or equivalent technical qualification

Role Overview: As a Software Engineering Lead at Verizon, you will play a pivotal role in designing and developing complex software architectures for our Machine-to-Machine Management Center platform. This globally integrated network platform enables customers to manage one of the largest networks worldwide. You will lead multiple software engineering teams internally and externally, ensuring the delivery of products that are architecturally sound, on spec, and on time. You will work with stakeholders to define release content, lead software platform releases, and provide architectural oversight across systems and services. You will be responsible for mentoring engineering teams, planning and reviewing their work, solving problems, and removing barriers to optimize productivity. Additionally, you will help ensure the scalability and performance of the platform, adhering to industry standards and keeping up with emerging technologies. Key Responsibilities: Leadership & Team Management: Lead multiple software engineering teams (internal and external) to develop complex software architectures. Provide leadership oversight during software platform releases and ensure products are on spec, delivered on time, and architecturally sound. Mentor engineering teams, plan their work, review their progress, and solve problems to ensure optimal productivity. Foster a collaborative work environment and remove obstacles to team success. Architectural Oversight & Strategy: Define and maintain architectural guidance for the platform to ensure performance, scalability, and reliability. Lead the implementation of the software development strategy and partner with cross-functional teams to deliver business outcomes. Stay current with emerging technologies, trends, and industry best practices to drive continuous improvement across systems and processes. Collaboration with Stakeholders: Collaborate with external teams to define and deliver release content, ensuring platform growth aligns with competitive demands. Work closely with cross-functional teams to ensure alignment and delivery of strategic goals. Innovation & Continuous Improvement: Embrace new technologies and innovative approaches to improve the system architecture and software platform. Stay informed on industry trends and integrate emerging technologies into the platform to maintain a competitive edge. Qualifications: Education: Bachelor s degree or equivalent work experience. A degree in computer science or computer engineering is preferred. Experience: 6+ years of experience in software engineering, including Java development, design, and architecture. Experience with test data management and driving scalable and high-performance solutions. Proven track record of leading software development projects and teams to successful delivery. Skills & Expertise: Strong knowledge of Java development, scalable web applications, and architecture. Experience with AWS, Kubernetes, Java Spring, and DB programming (including Oracle, Cassandra, and DB2). Knowledge of performance tuning, scalability, and high availability for large-scale systems. Ability to manage multiple competing priorities and deadlines, delivering results in a fast-paced environment. Desired Skills: Experience with Machine Learning or Gen AI development is a plus. Experience in project management, including both waterfall and agile methodologies. Proven experience handling high-pressure customer or end-user requests and issues. Strong understanding of the software development lifecycle (SDLC) and hands-on experience in database management and programming. Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences. What Verizon Offers: At Verizon, you will have the opportunity to lead and innovate in a fast-moving, dynamic environment. You will work with talented professionals across the globe, contributing to impactful projects that enhance the customer experience. Verizon is committed to providing its team members with the tools, resources, and support they need to thrive. Qualification : Bachelors degree or six or more years of work experience

Product Lead Financials Reporting Location: Hyderabad Company: Arcesium Company Overview Arcesium is a global financial technology company delivering sophisticated solutions to solve complex data-driven challenges for some of the world's most advanced financial institutions. We are committed to relentless innovation in helping our clients anticipate risks, optimize operational efficiency, and achieve transformational business outcomes. Operating at the crossroads of finance and technology, Arcesium empowers team members to take ownership, think creatively, and contribute meaningfully from day one. About the Role We are looking for a Product Lead Financials Reporting to join our Product Management Group in Hyderabad. In this role, you will lead the development and enhancement of financial reporting products used by some of the world s most sophisticated hedge funds and asset managers. You will be responsible for defining product vision and strategy, translating market needs into impactful product capabilities, and working closely with engineering and cross-functional stakeholders to build solutions that support our clients evolving regulatory, financial, and operational needs. Key Responsibilities Product Strategy & Vision Define and drive the vision, strategy, and roadmap for financial reporting products, in alignment with Arcesium s overall platform goals. Conduct market research, client interviews, and competitive analysis to identify product opportunities and trends. Build and maintain a forward-looking product roadmap grounded in user needs, technical feasibility, and business value. Execution & Delivery Collaborate with engineering teams to convert specifications into scalable, high-quality financial reporting solutions. Own feature definition, product design, and delivery through iterative releases and feedback loops. Monitor progress through test cases and validation frameworks to ensure features meet both business and technical expectations. Stakeholder Management Communicate product strategy, project plans, and progress updates with internal and external stakeholders. Collaborate with other product managers and cross-functional teams to integrate financial reporting into broader solutions. Prepare documentation such as release notes, business cases, and technical briefs. What You ll Need Experience & Expertise 6+ years of total experience with at least 2 years in product management. Deep understanding of financial reporting processes in hedge funds, asset management, or other alternative investment domains. Strong grasp of financial instruments, accounting standards, and regulatory frameworks relevant to financial reporting. Skills & Tools Advanced Excel skills and strong data analysis capability. Experience working closely with software engineers in an Agile or collaborative product development setting. Familiarity with interpreting counterparty statements and managing complex data sets. Soft Skills Excellent written and verbal communication skills. Strong critical thinking and problem-solving abilities. Confident stakeholder management and influence across technical and business teams. Detail-oriented, self-driven, and highly organized with a collaborative mindset. What Sets You Apart A healthy mix of domain expertise, strategic thinking, execution rigor, and customer empathy. Ability to thrive in a high-performance, data-driven, and fast-paced environment. Passion for delivering innovative financial technology solutions at scale. Equal Opportunity Employer Arcesium is an equal opportunity employer committed to diversity and inclusion. We welcome candidates from all backgrounds and ensure a workplace free from discrimination.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Senior AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role The Microsoft 365 Copilot India team is seeking high-caliber Senior Software Engineers to join a strategic initiative building next-generation AI-powered experiences for Microsoft 365 on Windows. Microsoft 365 Copilot is the flagship commercial AI Copilot solution, impacting millions of users globally across platforms (Windows, Mac, Web, Android, and iOS). As a Senior AI + Windows Engineer, you ll help shape key components of the Windows Copilot App, working in a fast-paced and impactful engineering environment with high visibility across the company. Key Responsibilities Collaborate with stakeholders to determine requirements and use cases for Windows-based AI features. Design, implement, and optimize high-performance, maintainable, and scalable code using C/C++ or C#. Participate in all phases of the SDLC design, coding, testing, debugging, and deployment. Develop and execute automation and test plans while providing accurate task estimates. Act as a Designated Responsible Individual (DRI) for system health monitor, respond to outages, and ensure high availability. Mentor junior engineers and support cross-team technical collaboration. Stay current with emerging trends and patterns in AI, distributed systems, and platform performance optimization. Required Qualifications Bachelor s degree in Computer Science or related technical field AND 4+ years of professional software engineering experience. Proficiency in at least one of the following: C, C++, C#, Java, JavaScript, Python. Strong software design, problem-solving, and debugging skills. Ability to rapidly grasp new technologies and systems. Effective communication and collaboration skills across engineering and product teams. Preferred Qualifications Deep experience with Windows platform development. Strong hands-on expertise in C/C++ for native Windows applications. Customer-first mindset and passion for crafting seamless user experiences. Experience with large-scale commercial software products or distributed systems is a plus. Be a part of a team building transformative AI solutions used by hundreds of millions of users. Microsoft fosters a collaborative, inclusive culture and invests in your learning, growth, and well-being. Employee Benefits Industry-leading healthcare coverage Generous time-off and leave policies Access to learning and development resources Employee discounts and savings programs Parental leave and family support benefits Global networking opportunities and giving programs Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, national origin, physical or mental disability, political affiliation, race, religion, sex, sexual orientation, or any other characteristic protected by applicable laws. Qualification : Bachelors degree in Computer Science or related technical field AND 4+ years of professional software engineering experience.

Principal Engineer AI/ML (Hybrid) Location: Hyderabad, India Company: Collins Aerospace (Raytheon Technologies) Experience: 8+ Years Overview Join our Applied Research & Technology (ART) department as a Principal Engineer in AI/ML. Be part of a global team driving innovation in aerospace through advanced technologies like AI/ML, Cloud, and emerging software solutions. Key Responsibilities Lead AI/ML software architecture, development, and deployment. Deliver proof-of-concepts and technology demonstrators across global R&D teams. Contribute to international conferences and publish research papers. Identify and explore disruptive trends in AI/ML, CV, NLP, and Generative AI. Skills & Qualifications Proficiency in Python and one of C/C++/C#/Java. Strong background in AI/ML for embedded or cloud platforms (AWS preferred). Hands-on experience with MLOps and software pipelines. 8+ years in software/AI roles; 2+ years in technical leadership. Bachelor's or Master s in CS, Electronics, or Avionics. AI/ML certifications; Agile/Scrum Master certification preferred. Benefits Group health, life, and accident insurance Transportation and meal vouchers Car lease, LTA, fuel & maintenance support 18 vacation days + 12 contingency leave Employee Scholar Program and pension plan Apply Now Be a pioneer in AI/ML innovation in aerospace. Apply today and help us shape tomorrow s flight technology. Equal Opportunity Statement RTX is an equal opportunity employer. All qualified candidates will receive consideration without regard to race, gender, religion, sexual orientation, or disability status. Qualification : Bachelor's or Masters in CS, Electronics, or Avionics.

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

Conversational AI Technical Lead Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm IT is seeking a Lead Conversational AI Developer for its Intelligent Automation Center (IAC). This role focuses on designing and implementing AI-driven conversational experiences using Microsoft Azure, Copilot Stack, and GenAI frameworks. Key Responsibilities Design and implement Conversational AI solutions using Microsoft Azure and Copilot Stack with Generative AI. Hands-on experience with Microsoft Copilot Studio, Bot Framework, Azure AI Search, Azure OpenAI, and NLP technologies. Develop end-to-end AI projects utilizing Retrieval-Augmented Generation (RAG) and Agentic AI architectures. Build bot solutions using Python; knowledge of front-end technologies like Angular is a plus. Utilize Azure Cognitive Services (LUIS/CLU, QnA Maker, Spell Check, Speech API). Extend Copilot Agent functionalities with Power Automate, Logic Apps, and APIs. Work with LangChain, LlamaIndex, and Streamlit for GenAI solution development. Ensure code quality through unit testing and reusable test case development. Support product testing and UAT; report status, issues, and risks regularly. Mentor team members and improve automation skills through certification. Minimum Qualifications Bachelor s degree and 4+ years of relevant programming/IT experience, or 6+ years without a degree. 2+ years of experience with database technologies like MongoDB or MySQL. Strong understanding of Conversational AI and Intelligent Automation methodologies. Experience in process mining tools like Celonis (data models, dashboards). Proficient in business process diagrams and flowcharting using Automation Anywhere. Knowledge of Robotic Process Automation (RPA) tools (certifications preferred). Strong programming background, especially in Python. Knowledge of RDBMS and SQL query writing. Experience in cloud platforms (preferably AWS); certifications are a plus. Agile development experience with tools like Jira. Skills & Competencies Strong knowledge of Microsoft Conversational AI Stack (Copilot Studio, Azure AI Foundry/Search/OpenAI). Experience in GenAI frameworks like LangChain. Strong communication, leadership, and team collaboration skills. Ability to manage tasks independently and lead a technical team effectively. Qualification : Bachelors degree and 4+ years of relevant programming/IT experience, or 6+ years without a degree.

Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.

Introduction At IBM, work is more than a job it s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world s most challenging problems? If so, lets talk. Your Role and Responsibilities We re looking for software development candidates that want to turn ideas into reality, focus on innovation and development in our modernization journey. Our Strategic Product Development team creates and delivers exciting product features that impact the business to be successful. You ll work alongside global and local multidisciplinary teams of Developers, Architects and Analysts focused on the next generation of solutions. Do you enjoy working and thrive in a Challenging yet collaborative team environment? Passionate about technology and software? You have extremely strong analytical, problem-solving and troubleshooting skills? If so, you ll fit right in with our team. You employ creative thinking and collaboration as the foundation of your daily approach towards our Product development team. At IBM, job is more than work! It offers you thrive on career as well as on skills to be latest with a perfect work-life balance. Required Technical and Professional Expertise 2 10 years of relevant industry experience in Artificial Intelligence and Machine Learning Platforms with specialization in Generative AI. Solid experience of Python Programming Language. Experience with Large Language Models and Natural Language Processing Familiarity with the Pytorch framework Experience with software development lifecycle Excellent problem determination skills Excellent written and oral communication skills Excellent organizational skills Preferred Technical and Professional Expertise Design experience for supporting new requirements. Willingness to learn new skills and technologies. Experience using git and github Familiarity with Node.js and creating VS Code extensions Flexible to work between development/test/support roles. Knowledge on other programming languages (C/C++, Java, Open-Source Programming Languages) is added advantage.

Description 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 a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. 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 small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers