Genpact is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. We're looking for a Manager-Data Scientist to join our team and shape the future of work. In this role, you'll apply advanced analytics, machine learning, and statistical modeling to generate actionable insights and solve complex business problems.
Requirements
- Design, develop, and optimize machine learning, deep learning, and statistical models to solve complex business problems.
- Implement and integrate AI/ML models into GenAI and Agentic AI applications using LangChain, LangGraph, OpenAI APIs, RAG pipelines, and vector databases.
- Build, deploy, and maintain scalable ML pipelines, from data ingestion and preprocessing to model deployment, monitoring, and lifecycle management.
- 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.
- Monitor model performance in production, detect drift or degradation, and establish alerting mechanisms to ensure reliability, compliance, and governance.
- Embed models into real-time dashboards and analytics applications to deliver actionable insights for business and HR stakeholders.
- Ensure model explainability (XAI), security, audit logging, and adherence to ethical, regulatory, and enterprise standards.
- Conduct and participate in training sessions, workshops, and technical discussions to share insights, AI/ML techniques, and best practices with team members.
- Translate complex model results, analytics, and AI-driven insights into clear, actionable recommendations for business and non-technical stakeholders.
- Create well-structured documentation, reproducible workflows, and explanatory reports to support model adoption, operational handovers, and team learning.
- Work closely with senior data scientists, engineers, and product teams to implement AI/ML solutions, ensuring alignment with project requirements and business objectives.
- Execute tasks such as data cleaning, exploratory analysis, feature engineering, and baseline model development under guidance, contributing to end-to-end AI/ML workflows
- Assist in presenting findings, visualizations, and insights to business and HR stakeholders, translating technical results into actionable recommendations.
Benefits
- Competitive salary
- Opportunities for career growth and development
- Chance to work with cutting-edge technology and innovative projects
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
