Lead consultant-ML Ops

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 anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep 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 teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook

Inviting applications for the role of Lead Consultant - MLOps Engineer!

In this role, you will define, implement and oversee the MLOps strategy for scalable, compliant, and cost-efficient deployment of AI/GenAI models across the enterprise. This role combines deep DevOps knowledge, infrastructure architecture, and AI platform design to guide how teams build and ship ML models securely and reliably.

You will establish governance, reuse, and automation frameworks for AI infrastructure, including Terraform-first cloud automation, multi-environment CI/CD, and observability pipelines.

Responsibilities

• Architect secure, reusable, modular IaC frameworks across cloud and regions for MLOps

  
  

• Lead the development of CI/CD pipelines and standardize deployment frameworks.

  
  

• Design observability and monitoring systems for ML/GenAI workloads.

  
  

• Collaborate with platform, data science, compliance and Enterprise Architecture teams to ensure scalable ML operations.

  
  

• Define enterprise-wide MLOps architecture and standards (build → deploy → monitor)

  
  

• Lead design of GenAI/LLMOps platform (Bedrock/OpenAI/Hugging Face + RAG stack)

  
  

• Integrate governance controls (approvals, drift detection, rollback strategies)

  
  

• Define model metadata standards, monitoring SLAs, and re-training workflows

  
  

• Influence tooling, hiring, and roadmap decisions for AI/ML delivery

  
  

• Be engaging in the design, development and maintenance of data pipelines for various AI use cases

  
  

• Required to actively contribution to key deliverables as part of an agile development team

  
  

Qualifications we seek in you!

Minimum Qualifications

• Good years of experience in DevOps or MLOps roles.

  
  

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

  
  

• Strong Python programming skills.

  
  

• Hands on experience in containerised deployment.

  
  

• Proficient with AWS (SageMaker, Lambda, ECR), Terraform, and Python.

  
  

• Demonstrated experience deploying multiple GenAI systems into production.

  
  

• Hands-on experience deploying 3–4 ML/GenAI models in AWS.