Lead consultant- MlOps

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. 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 implementdata, 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 Lead Consultant – ML Engineers!

In this role, lead the automation and orchestration of our machine learning infrastructure and CI / CD pipelines on public cloud (preferably AWS). This role is essential for enabling scalable, secure, and reproducible deployments of both classical AI / ML models and Generative AI solutions in production environments.

Responsibilities

Develop and maintain CI / CD pipelines for AI / GenAI models on AWS using GitHub Actions and CodePipeline. (Not Limited to)

Automate infrastructure provisioning using IAC. (Terraform, Bicep Etc)

Any cloud platform - Azure or AWS

Package and deploy AI / GenAI models on (SageMaker, Lambda, API Gateway).

Write Python scripts for automation, deployment, and monitoring.

Engaging in the design, development and maintenance of data pipelines for various AI use cases

Active contribution to key deliverables as part of an agile development team

Set up model monitoring, logging, and alerting (e.g., drift, latency, failures).

Ensure model governance, versioning, and traceability across environments.

Collaborating with others to source, analyse, test and deploy data processes

Experience in GenAI project

Qualifications we seek in you!

Minimum Qualifications

experience with MLOps practices.

Degree / qualification in Computer Science or a related field, or equivalent work experience

Experience developing, testing, and deploying data pipelines

Strong Python programming skills.

Hands-on experience in deploying 2 - 3 AI / GenAI models in AWS.

Familiarity with LLM APIs (e.g., OpenAI, Bedrock) and vector databases.

Clear and effective communication skills to interact with team members, stakeholders and end users

Preferred Qualifications / Skills

Experience with Docker-based deployments.

Exposure to model monitoring tools (Evidently, CloudWatch).

Familiarity with RAG stacks or fine-tuning LLMs.

Understanding of GitOps practices.

Knowledge of governance and compliance policies, standards, and procedures

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.