Inviting applications For MLOps Engineer

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Inviting applications for the role of [Principal MLOps Engineer]!

In this role, you will lead the design, scale, and governance of our AI/GenAI delivery platform across the organization. This role owns the vision, architecture, and execution of production-grade MLOps systems supporting multiple domains including classical ML, NLP, computer vision, and GenAI use cases.

This leader will drive enterprise-wide standardization of CI/CD, IAC-based cloud infrastructure, model governance, monitoring, and risk control — enabling AI at scale, securely and responsibly.

Responsibilities

• Define and evolve the enterprise MLOps reference architecture (build test deploy monitor retrain)
• Architect a multi-tenant AI platform with native GenAI support (LLMs, RAG, LangChain/Bedrock/OpenAI integrations)
• Own all infrastructure-as-code strategy, with modular, reusable Terraform stacks for multi-cloud/hybrid deployments
• Lead CI/CD modernization across teams (GitHub Actions, CodePipeline, Argo Workflows)
• Establish centralized model governance, access control, and explainability standards (integrating tools like SHAP, LIME, CloudWatch, SageMaker Model Monitor)
• Champion infrastructure observability and compliance logging for regulated environments (banking, insurance, healthcare)
• Represent MLOps in enterprise-wide architecture reviews and cloud optimization boards

Qualifications we seek in you!

Minimum Qualifications

• 8 - 10 years in DevOps, Cloud, or ML Infrastructure roles.

• 5+ years leading MLOps initiatives at scale in production.

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

• Deep AWS expertise (SageMaker, Lambda, VPC, CloudWatch, IAM).

• Strong Python and Terraform skills, with proven CI/CD implementation track record.

• Experience with deploying GenAI models (OpenAI, Bedrock, Hugging Face) and managing inference at scale.

• 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

• Experience designing model governance frameworks and CI/CD pipelines.

• Familiarity with LangChain, Bedrock, and OpenAI API integrations.

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

Preferred Qualifications/ Skills

• Leadership experience in BFSI, healthcare, or regulated industries.
• Advanced understanding of platform security, cost optimization, and ML observability.
• Must have Experience developing, testing, and deploying data pipelines
• Influence over tooling selection, hiring, architecture reviews, and platform roadmap.
• Exposure to BFSI or regulated environments.
• Experience developing, testing, and deploying data pipelines
• Clear and effective communication skills to interact with team members, stakeholders and end users
• Degree/qualification in Computer Science or a related field, or equivalent work experience
• Knowledge of governance and compliance policies, standards, and procedures

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.