software engineer

software engineer ii

associate engineer

automation engineer

junior test engineer

ai ml engineer

Xemplar Insights

<div>
 
 
 
 Must Have Skills:
 
 
 
 <ol>
 <li>
 Machine learning techniques: regression, classification, clustering, deep learning
 </li>
 <li>
 Programming languages: Python, R
 </li>
 <li>
 Machine learning libraries: TensorFlow, scikit-learn, PyTorch
 </li>
 <li>
 Data wrangling, feature engineering
 </li>
 <li>
 Model validation and testing
 </li>
 <li>
 Cloud platforms, distributed computing, big data technologies
 </li>
 </ol>
 
 
 
 
 
 
 Nice to Have Skills:
 
 
 
 <ol>
 <li>
 Knowledge of P&amp;C Insurance domain
 </li>
 <li>
 Experience working with US-based customers
 </li>
 <li>
 Experience in leading teams or projects
 </li>
 <li>
 Experience with high-performance computing
 </li>
 <li>
 GenAi Skills, Experience with LLMs.
 </li>
 </ol>
 
 
 
 
 
 
 Job Responsibilities of this position:
 
 
 
 
 1. Architect the design and development of AI/ML predictive models that significantly enhance decision-making processes for clients, leveraging their own historical data sets and industry insights.
 
 
 2. Engage with senior executives and key stakeholders to fully understand their business needs, strategic objectives, and data requirements, ensuring the AI/ML models are precisely tailored to deliver maximum business value.
 
 
 3. Oversee the implementation, testing, and validation of machine learning algorithms, ensuring that the models are not only accurate but also scalable, reliable, and robust for enterprise-level production environments.
 
 
 4. Collaborate cross-functionally with product managers, engineers, and data scientists to integrate AI/ML models into Xemplar&rsquo;s product ecosystem, optimizing performance and efficiency across multiple teams.
 
 
 5. Provide expert analysis and interpretation of complex data sets from various sources, delivering actionable insights that inform business decisions and improve the accuracy and predictive power of models.
 
 
 6. Stay ahead of emerging AI/ML trends and innovations, actively incorporating cutting-edge research, techniques, and best practices into the modeling and development processes.
 
 
 7. Drive the technical vision and strategic direction for AI/ML initiatives, mentoring and guiding less experienced team members while also establishing best practices and a culture of continuous improvement.
 
 
 8. Partner with business analysts, frontend, mid-tier, and backend developers to ensure the development, deployment, and performance of production applications that effectively utilize AI/ML models to deliver real-world impact.
 
 
 
 
 
 Required Relevant Experience:
 
 <ol>
 <li>
 5+ years of experience in developing and deploying AI/ML predictive models in production environments, with a strong portfolio of successful enterprise-scale projects and solutions.
 </li>
 <li>
 Expertise in machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and deep learning.
 </li>
 <li>
 Advanced proficiency in programming languages such as Python, R, or similar, and mastery of machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch).
 </li>
 <li>
 Extensive experience with data wrangling, feature engineering, and working with large, complex, high-volume datasets.
 </li>
 <li>
 Proven track record in model validation and testing, ensuring models are robust, reliable, and scalable across different use cases and environments.
 </li>
 <li>
 Deep understanding of the P&amp;C Insurance domain, with specific experience in areaslike claims prediction, risk modeling, pricing optimization, and customer segmentation.
 </li>
 <li>
 Strong ability to communicate complex technical concepts to senior, non-technical stakeholders, influencing decision-making at the highest levels.
 </li>
 <li>
 Significant hands-on experience working with both structured and unstructured data atscale, with expertise in cloud platforms, distributed computing, and big data technologies.
 </li>
 <li>
 5+ years of experience in predictive model development, data mining, statistical modeling, and high-performance computing in complex enterprise environments.
 </li>
 </ol>
 
 
 
 
 
 
 
 
 Years of experience required:
 
 3 to 5+ years
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Mode of work:
 
 Work of Office (All 5 days a week Work from office)
 
 
 
</div>

Data Scientist

TC CONSULTING SERVICES

<div>
 
 🚀
 
 We&rsquo;re Hiring: Data Scientist &ndash; Digital Transformation Organization
 
 
 
 
 
 
 
 Company:
 
 TC Consulting Services
 
 
 
 Location:
 
 100% Remote
 
 
 
 Compensation:
 
 Package &ndash; ₹10 LPA
 
 
 
 Shift:
 
 Night Shift (Mon&ndash;Fri, 9 AM &ndash; 5 PM EST, US Time)
 
 
 
 
 
 TC Consulting Services is building a new
 
 Digital Transformation Organization
 
 , and we&rsquo;re looking for a passionate
 
 Data Scientist
 
 to join our journey. This team&rsquo;s mission is to leverage data to
 
 boost productivity and revenue
 
 , starting with our
 
 &ldquo;Modern Sales&rdquo; initiative
 
 .
 
 
 
 
 
 
 
 🔑 Key Responsibilities
 
 
 
 <ul>
 <li>
 
 Model Development &amp; Evaluation
 
 &ndash; Build, test, and optimize predictive models using ML/DL techniques (time-series, structured &amp; unstructured data).
 </li>
 <li>
 
 Data Analysis &amp; Pipelines
 
 &ndash; Perform EDA, feature engineering, and automate data/model pipelines using tools like
 
 Databricks
 
 or
 
 Azure Data Factory
 
 .
 </li>
 <li>
 
 Generative AI &amp; AI Agents
 
 &ndash; Develop and fine-tune
 
 LLMs, RAG systems, and AI agents
 
 , with strong expertise in
 
 prompt engineering
 
 .
 </li>
 <li>
 
 Collaboration &amp; Communication
 
 &ndash; Work cross-functionally with engineers and project managers to deliver insights and translate findings into business outcomes.
 </li>
 </ul>
 
 
 
 
 
 
 🎯 Required Skills
 
 
 
 <ul>
 <li>
 
 Experience -
 
 Minimum 3 years overall, with 2&ndash;3 years in AI/ML.
 </li>
 <li>
 
 Python
 
 &ndash; Hands-on expertise with Pandas, NumPy, Scikit-learn.
 </li>
 <li>
 
 Machine Learning
 
 &ndash; Proficiency in regression, classification, clustering, TensorFlow, PyTorch.
 </li>
 <li>
 
 Generative AI
 
 &ndash; Experience with OpenAI, Hugging Face, or similar frameworks.
 </li>
 <li>
 
 Prompt Engineering
 
 &ndash; Ability to design and optimize prompts effectively.
 </li>
 <li>
 
 Data Pipeline Tools
 
 &ndash; Skilled in orchestration frameworks (Databricks, Azure Data Factory).
 </li>
 <li>
 
 Visualization
 
 &ndash; Strong command of Matplotlib and Seaborn.
 </li>
 </ul>
 
 
 
 
 
 
 🌟 Why Join Us?
 
 
 
 
 This is a
 
 high-growth, fast-paced environment
 
 where you&rsquo;ll be at the forefront of building AI-driven solutions that directly shape modern sales strategies. Our Digital Transformation Office is driving innovation by reimagining processes, enabling smarter decision-making, and creating
 
 data-powered customer solutions
 
 .
 
 
 
 
 
 📩
 
 Interested? Apply now and be part of a team shaping the future of data-driven transformation!
 
 
</div>

Microsoft

<div>
 Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.  The Business &amp; Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.
 
 
 We are looking for a passionate and growth-oriented
 
 Applied Scientist II
 
 to join our team working on high-impact projects at the intersection of AI and software engineering.  In this role, you will experiment with and fine-tuning models, to build end-to-end SaaS product scenarios enabling enterprise productivity and agents taking actions while ensuring enterprise security and governance capabilities for AI.
 
 
 We are looking for an individual who has experience in collaborating with research and product engineering teams to deliver best of class innovative product solutions. This can range from alignments with stakeholders, working together to build and fine-tune models, developing advanced RAG techniques, to coming up with ways to build custom generative AI architectures for specific product needs.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Serve as a domain expert in machine learning, statistics, and experiment design.
 </li>
 <li>
 Collaborating with stakeholders to gather and understand user requirements and expectations. Seek and incorporate continuous feedback from users and stakeholders to iteratively improve designs and solutions.
 </li>
 <li>
 Build and manage large-scale AI experiments and models.
 </li>
 <li>
 Drive experimentation through A/B testing and offline validation to evaluate model performance.
 </li>
 <li>
 Collaborate across disciplines and geographies with product teams and integrate AI across product
 </li>
 <li>
 Stay up to date with the research literature and product advances in AI for software engineering
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Minimum Qualifications:
 
 
 
 <ul>
 <li>
 Undergraduate degree in Computer Science, Engineering, Mathematics, Statistics.
 </li>
 <li>
 3+ years experience with strong proficiency in Python, machine learning frameworks, and experience developing and deploying generative AI or machine learning models into production. (Experience with additional programming languages is a plus but not required.)
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
 
 
 <ul>
 <li>
 This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 
 
 Preferred/Additional Qualifications
 
 
 
 <ul>
 <li>
 Masters or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significant appropriate experience will be considered).
 </li>
 <li>
 Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.
 </li>
 <li>
 Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.
 </li>
 <li>
 Experience with LLMs in natural language, AI for code or related fields
 </li>
 <li>
 Excellent communication skills, ability to present and write reports, strong teamwork and collaboration skills.
 </li>
 <li>
 Experience in productizing AI and collaborating with multidisciplinary teams.
 
 
 </li>
 </ul>
 #BICJOBS #Agent365Jobs
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Applied Scientist II

VALUEMOMENTUM Inc

<div><div>Job Title: AI/ML Lead</div>
<div>Job ID: POS-16044</div>
<div>Primary Skill: AWS Services</div>
<div>Location: Hyderabad
</div><div>Experience: 9.00</div> 
 
<div>Job Description: AI Architect 

Job Title: AI Architect
Primary skills: AWS
Location: Hyderabad/ERIE, PA
Mode of work: Work from Office
Experience: 8 - 10 Yrs. 

About the job
We are seeking an AI Architect to join their team in Erie, PA. We are looking for a senior data scientist/agentic AI architect with heavy ML/MLops experience (strong Python) who can evaluate and implement models that are provided by the enterprise and act as Lead Engineer. We are really searching for someone who can analyze the models and select which model can be used for which situation. The Senior/Lead ML Engineer will need deep ML knowledge but will not be building models from scratch, but potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows). 
Know your team
At ValueMomentum&rsquo;s Engineering Center, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise. 

Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects. 

Responsibilities
<ul><li>Lead the design and development of an Agentic AI platform</li>
<li>Architect and implement core systems for agent-based AI workflows</li>
<li>Apply GenAI for documentation use cases such as extraction, indexing, summarization, classification, bundling and routing.</li>
<li>Design and develop RAG/Graph RAG with ingestion pipelines using langchain or AWS Bedrock.</li>
<li>Develop conversation intelligence solutions using any Gen AI tech stack. Ex: LangChain,Streamlit, Copilot Studio or AWS Q Developer.</li>
<li>Finetune LLM Foundational models on AWS Bedrock.</li>
<li>Design and Develop LLM and AI application evaluation sets.</li>
<li>Develop and optimize ML models, pipelines, and orchestration logic</li>
<li>Provide technical leadership and guidance to development teams on leveraging the self-service platform for their AI-based initiatives.</li>
<li>Collaborate with stakeholders to define key performance indicators (KPIs) and establish metrics for measuring the effectiveness and adoption of the self-service platform with improved developer experience.</li></ul> 

<ul><li>Requirements 
Bachelor&rsquo;s / master&rsquo;s degree in computer science, Engineering, or a related field (or equivalent work experience).</li>
<li>Programming Languages: Proficiency in Python is essential.</li>
<li>Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK</li>
<li>Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems</li>
<li>Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)</li>
<li>Cloud Platforms: Familiarity with AWS</li>
<li>Data Engineering: Proficiency in data preprocessing and feature engineering</li>
<li>Version Control: Experience with GitHub for version control</li>
<li>Data Science Practices: Skills in building models, testing/validation, and deployment</li>
<li>Collaboration: Experience working in an Agile framework</li>
<li>RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search</li>
<li>Understanding of AWS services such as EC2, S3, VPC, IAM, Lambda, API Gateway, and others.</li>
<li>Knowledge in infrastructure as code (IaC) tools such as Terraform,.</li>
<li>Understanding of cloud security best practices, compliance standards, and governance frameworks.</li>
<li>Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless computing.</li>
<li>Experience with DevOps practices, including CI/CD pipelines, configuration management, and automated testing.</li>
<li>Experience in network architecture, IDAM (Identity and Access Management), Active Directory, key vaults, and other network, security-related components.</li>
<li>Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.</li>
<li>Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.</li></ul> 

About ValueMomentum
ValueMomentum is a leading solutions provider for the global property &amp; casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&amp;C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the US insurance industry. 
Our culture &ndash; Our fuel
At ValueMomentum, we believe in making employees win by nurturing them from within, collaborating and looking out for each other.
<ul><li>People first - Empower employees to succeed.</li>
<li>Nurture leaders - Nurture from within.</li>
<li>Enjoy wins &ndash; Recognize and celebrate wins.</li>
<li>Collaboration &ndash; Foster a culture of collaboration and people-centricity.</li>
<li>Diversity &ndash; Committed to diversity, equity, and inclusion.</li>
<li>Fun &ndash; Create a fun and engaging work environment.</li>
<li>Warm welcome &ndash; Provide a personalized onboarding experience.</li></ul> 

Company Benefits
<ul><li>Compensation - Competitive compensation package comparable to the best in the industry.</li>
<li>Career Growth - Career development, comprehensive training &amp; certification programs, and fast track growth for high potential associates.</li>
<li>Benefits: Comprehensive health benefits and life insurance.</li></ul> 

**** 
</div> 
<div><div>About the Company: 
 
ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry. 
</div> 
<div>Benefits: 
 
We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
<ul><li>Competitive compensation package.</li>
<li>Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.</li>
<li>Comprehensive training and certification programs.</li>
<li>Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.</li></ul></div></div></div>

AI/ML Lead

Experian

<div>
 
 Company Description
 
 
 
 Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
 
 
 We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
 
 
 We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
 
 
 
 Job Description
 
 
 
 We are seeking an
 
 Automation Engineer
 
 with a passion for automation and modern AI/GenAI/Agentic technologies. You will use your programming expertise and knowledge of AI/GenAI/Agentic to build and optimize automation workflows for our business processes.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop Automation Workflows: Design, implement, and maintain automation scripts and tools (primarily in Python) to streamline operational processes (e.g. customer onboarding, transaction processing, reporting).
 </li>
 <li>
 Integrate AI and LLMs: Leverage generative AI and LLM capabilities to enhance automation. This includes calling OpenAI APIs or similar services to build intelligent features such as document processing, content generation, or decision support within workflows.
 </li>
 <li>
 Agentic Automation Solutions: Create and deploy agent-based automation (utilizing frameworks like LangChain, CrewAI or custom agents) that can perform multi-step tasks with minimal human intervention.
 </li>
 <li>
 Data Retrieval and RAG: Implement retrieval-augmented generation techniques when needed &ndash; such as using vector databases to store and retrieve embeddings &ndash; so that AI models have access to relevant data (e.g. knowledge bases or transaction history) for more accurate and context-aware outputs.
 </li>
 <li>
 Testing and Optimization: Rigorously test automation workflows to ensure reliability, accuracy, and security. Debug issues and optimize performance of scripts or AI components (e.g. fine-tune prompts or adjust logic for better results).
 </li>
 <li>
 Documentation: Document the design, steps, and usage of automation workflows clearly. Provide user guides or runbooks for automated processes to ensure maintainability and knowledge sharing within the team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science, Software Engineering, or a related field with
 </li>
 <li>
 You should have overall experience of 5yrs and 1-2 yrs experience in GenAI/AI/Agentic automation.
 </li>
 <li>
 AI/ML Tools: Familiarity with additional AI and data tools such as TensorFlow/PyTorch (for any ML model work), Pandas or SQL (for data manipulation and analysis in automation), or prompt engineering techniques to fine-tune AI behavior.
 </li>
 <li>
 AI/Generative AI: Knowledge of generative AI and LLMs. Hands-on experience using the OpenAI API (or similar AI/ML APIs) to build applications or prototypes.
 </li>
 <li>
 Agentic AI Frameworks: Exposure and deep understanding of Agentic AI and to frameworks like LangChain, CrewAI (or similar libraries for building AI-driven applications). Ability to design multi-step AI workflows or chains, prompt engineering, Evals, and integrate pre-built AI components into larger processes.
 </li>
 <li>
 Vector Databases &amp; RAG: Good understanding of vector databases (LlamaIndex, ADA, FAISS, etc.) and Retrieval Augmented Generation (RAG) concepts.
 </li>
 <li>
 You will be reporting to a Senior Manager
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work&trade; in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 
 Benefits
 
 
 
 Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
 
 
</div>

Automation Engineer

Dr. Reddy's Laboratories

<div>
 
 
 Job Summary
 
 
 
 We are hiring a
 
 Technical AI Product Manager
 
 to lead development of AI and GenAI products focused on
 
 Manufacturing and Quality
 
 . You will work across product, ML, and engineering teams to build scalable, production-grade AI systems that improve operational efficiency, compliance, and product quality. This role requires deep technical fluency, structured product thinking, and end-to-end execution ownership.
 
 
 
 
 
 
 Roles and Responsibilities
 
 
 <ul>
 <li>
 Own product lifecycle from problem framing to deployment and iteration
 </li>
 <li>
 Define clear specs with data science and engineering for ML and GenAI solutions
 </li>
 <li>
 Lead development of RAG pipelines, prompt orchestration, fine-tuning, and evaluation workflows
 </li>
 <li>
 Balance model performance, latency, cost, scalability, and compliance constraints
 </li>
 <li>
 Design API-first, modular, secure product architectures
 </li>
 <li>
 Monitor product KPIs and drive iterative improvements
 </li>
 <li>
 Prioritize across exploratory and scalable use cases
 </li>
 <li>
 Stay current with AI/LLM tech and translate into product capabilities
 </li>
 </ul>
 
 
 
 
 
 Skills Required
 
 
 
 
 Functional
 
 
 <ul>
 <li>
 Strong ownership with ability to structure ambiguous technical problems
 </li>
 <li>
 Domain fluency across batch record review automation, GenAI for SOP interpretation, deviation summarization, predictive maintenance, and QA document generation
 </li>
 <li>
 Experience working with plant ops, QA, and regulatory teams to define AI use cases with measurable impact on cycle time, compliance readiness, and process efficiency
 </li>
 <li>
 Skilled at managing constraints around GxP, traceability, auditability, and secure deployment of AI products
 </li>
 <li>
 Proven delivery of AI solutions in validated or regulated manufacturing environments
 </li>
 </ul>
 
 
 
 
 
 Technical
 
 
 <ul>
 <li>
 8+ years of experience in AI &amp; Analytics for manufacturing &amp; quality functions
 </li>
 <li>
 Deep knowledge of LLMs, embeddings, vector stores, and RAG architectures
 </li>
 <li>
 Hands-on with LangChain, Pinecone, OpenAI, Azure AI, Vertex AI or similar
 </li>
 <li>
 Proficient in evaluating model metrics like top-k accuracy, latency, precision, recall
 </li>
 <li>
 Comfortable reviewing code, writing specs, and using Git, Postman, Jupyter
 </li>
 </ul>
 
 
</div>

AI Product Manager – Manufacturing and Quality

Teradata

<div>
 
 Our company:
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What you will do:
 
 
 
 As a senior product leader, you will drive the creation of Teradata&rsquo;s next-generation AI Marketplace from the ground up, redefining how AI/ML technologies are integrated into our global portfolio of enterprise-scale data and analytics platforms. Based in India, you will architect and lead the strategy for a groundbreaking AI Marketplace that empowers customers to leverage Teradata&rsquo;s VantageCloud and data warehouse capabilities through innovative AI-driven solutions.
 
 
 <ul>
 <li>
 Vision and Strategy: Define and champion the vision for the Teradata AI Marketplace, creating a scalable, enterprise-grade platform that enables seamless discovery, deployment, and management of AI models, tools, and applications.
 </li>
 <li>
 Marketplace Development: Lead the end-to-end development of the AI Marketplace, from conceptualization to launch, ensuring it delivers a robust ecosystem tailored for enterprise data and analytics workloads.
 </li>
 <li>
 AI Integration: Shape how AI/ML technologies are embedded into the Marketplace, enabling customers to harness VantageCloud and data warehouse capabilities for advanced insights, automation, and intelligent applications.
 </li>
 <li>
 Roadmap Leadership: Set and own the product roadmap for the AI Marketplace, balancing cutting-edge innovation with enterprise requirements for performance, governance, and compliance.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with global engineering, data science, UX, and go-to-market teams to build a secure, intuitive, and high-performance Marketplace that meets enterprise needs.
 </li>
 <li>
 Customer-Centric Design: Engage with customers to understand their challenges and needs, ensuring the Marketplace delivers measurable value for mission-critical AI workloads in hybrid and multi-cloud environments.
 </li>
 <li>
 Ecosystem Development: Build and nurture partnerships with AI vendors, developers, and third-party providers to create a vibrant Marketplace ecosystem, driving adoption and innovation.
 
 
 </li>
 </ul>
 
 Who you will work with:
 
 
 
 On our team, we collaborate with engineering, cloud infrastructure, data science, UX, and governance functions to bring next-generation AI capabilities into Teradata&rsquo;s enterprise ecosystem. We are responsible for the product vision, roadmap, and execution of AI initiatives, ensuring they meet both business and technical objectives.
 
 
 This role reports to the
 
 SVP of Product Engineering
 
 and will partner closely with product engineering and platform leaders worldwide. You will act as a strategic AI product leader for Teradata, influencing global product direction.
 
 
 
 What makes you a qualified candidate:
 
 
 
 <ul>
 <li>
 Degree from top tier IIT in Computer Science, Data Science, Engineering, or related field (PhD preferred).
 </li>
 <li>
 15+ years of product management experience, including 5+ years leading AI/ML or advanced analytics products.
 </li>
 <li>
 Deep technical expertise in AI/ML concepts including LLMs, foundation models, supervised/unsupervised learning, fine-tuning, inference pipelines, and multi-modal AI.
 </li>
 <li>
 Proven success embedding AI into enterprise-scale platforms, especially in data management, analytics, or cloud environments.
 </li>
 <li>
 Strong technical fluency with AI infrastructure &mdash; including distributed training, inference optimization, GPU/accelerator integration, and workload orchestration.
 </li>
 <li>
 Experience defining APIs, SDKs, and developer integrations for enterprise AI adoption.
 </li>
 <li>
 Demonstrated knowledge of hybrid and multi-cloud architectures and their impact on AI performance, scalability, and cost optimization.
 </li>
 <li>
 Familiarity with governance and compliance frameworks (HIPAA, GDPR, SOC2) and applying them to AI/ML solutions.
 </li>
 <li>
 Exceptional communication skills with the ability to influence C-level stakeholders and articulate AI product strategy.
 </li>
 <li>
 Track record of customer engagement, market analysis, and competitive benchmarking in enterprise software.
 
 
 </li>
 </ul>
 
 What you will bring:
 
 
 
 <ul>
 <li>
 Expertise in optimizing AI workloads across cloud and hybrid environments, ensuring cost-efficiency and performance at scale.
 </li>
 <li>
 Hands-on knowledge of GPU, TPU, and emerging accelerator technologies for training, inference, and fine-tuning AI models.
 </li>
 <li>
 Ability to bridge AI model development with structured and unstructured enterprise data at petabyte scale.
 </li>
 <li>
 A strong understanding of responsible AI, including fairness, explainability, auditability, and bias detection.
 </li>
 <li>
 Vision to anticipate industry trends and position Teradata&rsquo;s AI offerings as differentiated and enterprise-ready.
 </li>
 <li>
 Passion for enabling intuitive, AI-powered user experiences (e. g. , natural language query, automated insights, intelligent automation).
 </li>
 <li>
 Ability to operate as a senior executive IC &mdash; setting strategy, guiding technical direction, and influencing globally without direct people management responsibilities.
 
 
 </li>
 </ul>
 
 Why we think you will love Teradata:
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are
 
 
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
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