Job Description

Ready to shape the future of work?

At Genpact, we dont just adapt to changewe 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. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Manager, Machine Learning Engineer / Data Scientist (Databricks & Snowflake)

We are seeking a highly motivated Machine Learning Engineer / Data Scientist with hands-on experience in Databricks, Snowflake, MLflow, and Unity Catalog, along with strong Python expertise.

This role bridges advanced analytics and production ML engineering. The ideal candidate can build robust models, operationalize them using modern MLOps practices, and design scalable data pipelines within cloud-native environments.

Responsibilities

You will be primarily working as a consultant for the centralized advanced analytics team of a banking or financial firm. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc; Your activities will include, but will not be limited to the following:

Machine Learning & Advanced Analytics

• Develop, train, validate, and deploy machine learning models for predictive and analytical use cases
• Perform exploratory data analysis (EDA) and feature engineering
• Apply statistical modeling, supervised/unsupervised learning, and optimization techniques
• Evaluate models using robust validation frameworks
• Communicate insights clearly to technical and business stakeholders

ML Engineering & MLOps

• Productionize ML models using MLflow for experiment tracking, model registry, and lifecycle management
• Implement CI/CD pipelines for ML workflows
• Monitor model performance and manage version control
• Ensure reproducibility and governance of ML assets
• Manage feature pipelines and model retraining strategies

Databricks & Distributed Processing

• Build scalable data pipelines using Databricks (Spark)
• Optimize distributed workloads for performance and cost efficiency
• Implement notebook-based and production-grade job workflows
• Leverage Unity Catalog for governance, lineage, and secure data/model access control

Data Warehousing & Snowflake

• Design and optimize data models in Snowflake
• Write advanced SQL queries for transformation and analytics
• Integrate Snowflake with Databricks for seamless data workflows
• Support ELT/ETL design and performance tuning

Qualifications we seek in you!

Minimum Qualifications

Technical Skills

• Strong programming skills in Python (pandas, NumPy, scikit-learn, etc.)
• Hands-on experience with Databricks (Spark, notebooks, jobs)
• Experience with Snowflake
• Working knowledge of MLflow
• Experience implementing governance using Unity Catalog
• Strong SQL proficiency
• Understanding of distributed computing concepts

Soft Skills

• Strong problem-solving and analytical skills
• Ability to translate business requirements into technical solutions
• Strong communication and documentation capabilities
• Ability to work in cross-functional agile teams
• Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision
• Strong project management orientation with ability to work under time-sensitive commitments.

Preferred Qualifications/ Skills

• Experience deploying ML models in cloud environments (AWS/Azure/GCP)
• Familiarity with REST APIs and model serving
• Experience with deep learning frameworks (PyTorch/TensorFlow)
• Exposure to data quality frameworks
• Knowledge of feature stores and real-time inference pipelines

Why join Genpact?

• 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

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Interested candidate share their profiles at neha.singh@genpact.com

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