Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale.
Requirements
- Model Development & Statistical Analysis - Design, develop, and optimize machine learning, deep learning, and statistical models to solve complex business problems.
- GenAI & LLM Integration – Implement and integrate AI/ML models into GenAI and Agentic AI applications using LangChain, LangGraph, OpenAI APIs, RAG pipelines, and vector databases.
- End-to-End ML Pipelines – Build, deploy, and maintain scalable ML pipelines, from data ingestion and preprocessing to model deployment, monitoring, and lifecycle management.
- Production Deployment & MLOps – Deploy models as APIs or services using Docker, Kubernetes, FastAPI, and cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) while implementing CI/CD for automated testing and versioning.
- Performance Monitoring & Reliability – Monitor model performance in production, detect drift or degradation, and establish alerting mechanisms to ensure reliability, compliance, and governance.
- Analytics Integration – Embed models into real-time dashboards and analytics applications to deliver actionable insights for business and HR stakeholders.
- Governance & Compliance – Ensure model explainability (XAI), security, audit logging, and adherence to ethical, regulatory, and enterprise standards.
- Knowledge Sharing - Conduct and participate in training sessions, workshops, and technical discussions to share insights, AI/ML techniques, and best practices with team members.
- Stakeholder Communication - Translate complex model results, analytics, and AI-driven insights into clear, actionable recommendations for business and non-technical stakeholders.
- Documentation & Enablement - Create well-structured documentation, reproducible workflows, and explanatory reports to support model adoption, operational handovers, and team learning.
- Cross-Functional Collaboration - Works closely with senior data scientists, engineers, and product teams to implement AI/ML solutions, ensuring alignment with project requirements and business objectives.
- Independent Contribution - Executes tasks such as data cleaning, exploratory analysis, feature engineering, and baseline model development under guidance, contributing to end-to-end AI/ML workflows
- Stakeholder Alignment - Assists in presenting findings, visualizations, and insights to business and HR stakeholders, translating technical results into actionable recommendations.
Benefits
- Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
- Make an impact – Drive change for global enterprises and solve business challenges that matter
- Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
- Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
- Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
