Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?
Role Summary
We are seeking an experienced Machine Learning Engineering Tech Lead to provide hands-on technical leadership for enterprise-scale Machine Learning, Generative AI and Agentic AI solutions. The role owns engineering quality across the full AI lifecycle—from data and feature engineering through model/LLM integration, deployment, MLOps, observability, security, scalability and production support. The ideal candidate combines deep ML engineering expertise with solid software engineering,



cloud-native architecture and technical leadership capabilities.
Key Responsibilities
ML Engineering Leadership
Lead and mentor ML Engineers and Data Scientists across multiple AI/ML initiatives.
Define engineering standards, reusable frameworks, reference architectures and code-quality practices for ML solutions.
Own technical design and code reviews, production-readiness reviews and complex problem resolution.
Drive scalability, reliability, maintainability, security, performance and cost efficiency across AI products.
Machine Learning Architecture
Design end-to-end ML architectures covering data, feature engineering, training, evaluation, registry, deployment, monitoring and retraining.
Define batch and real-time inference patterns, model serving strategies, feature management, model versioning and rollback mechanisms.
Establish reproducible experimentation, validation and model lifecycle standards.
Generative

📌 Tech Lead (India)
🏢 AB InBev GCC India
📍 India