EY - GDS Consulting - AI and DATA - MlOps/AI Engineering - Senior

Ernst & Young Advisory Services Sdn Bhd; Bengaluru; On-site; INR 12,00,000 - 18,00,000; Full time

Job summary

A leading advisory firm is seeking a Senior ML Ops/AI Engineer to design, build, and operate AI powered services and APIs. The ideal candidate should have over 4 years of AI Engineering experience, with strong skills in deploying to AWS/Azure and implementing MLOps best practices. This is an exciting opportunity to work in a collaborative environment, driving automation and deployment of innovative AI solutions.

Qualifications

• 4+ years of experience in AI Engineering.

Responsibilities

• Design, build, and operate production grade AI services/APIs.
• Implement MLOps best practices.
• Drive DevOps automation for secure delivery.
• Lead deployment of AI components to AWS/Azure.
• Collaborate on product and analytics requirements.

Skills

Deployment to AWS/Azure

MLOps best practices

DevOps automation

Collaboration cross-functionally

Education

B.Tech/M.Tech/MS in CS/EE or equivalent

Job description

EY - GDS Consulting - AI and DATA- MlOps/AI Engineering - Senior

Other locations: Primary Location Only

Date: Oct 9, 2025

Requisition ID: 1638708

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Role summary

You will engineer, ship, and operate AI powered services and APIs in production. The focus is on Python, API development, robust deployment practices, and end to end MLOps/DevOps on AWS/Azure. You’ll partner with data, ML, and platform teams to move models and AI capabilities from notebooks to reliable, secure, scalable services.

Key responsibilities

• Design, build, and operate production grade AI services/APIs, owning reliability, scalability, and performance SLOs.
• Implement MLOps best practices (experiment tracking, model packaging, CI/CD for models, automated testing, feature and model registries, telemetry) to reduce time to production.
• Drive DevOps automation (infrastructure as code, containerization, orchestration) and secure delivery with least privilege, secrets management, and policy-as-code.
• Lead deployment of AI components to AWS/Azure (containers, serverless, managed ML platforms) with strong observability and rollback plans.
• Collaborate cross functionally to translate product and analytics requirements into well designed APIs, contracts, and SLAs.

Must have skills

• Deployment to AWS/Azure (EKS/AKS, ECS/Fargate, Lambda/Functions, API Gateway/App Gateway)

Good to have

• GenAI/Agentic concepts, vector databases, prompt engineering fundamentals

Qualifications & experience

• B.Tech/M.Tech/MS in CS/EE or equivalent.
• 4+ years in AI Engineering

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.