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?
AB InBev Analytics CoE, GAC, is a part of Anheuser-Busch InBev and leads the cutting edge AI, Analytics, Technology solutions & products for the company. The center leverages the power of data and analytics to drive growth for critical business functions such as Revenue Management, Marketing, Strategy, Sales etc.
Job Description
Job Title: Senior ML Engineer
Location: Bangalore (Onsite)
Reporting to: Senior Manager
PURPOSE OF ROLE
As a Senior MLE, you will be responsible for driving the scaling of causal inference methodologies for the enterprise Test & Learn platform from model containerization and deployment at scale to architecting backend repos and pipelines that enable integration with the software/frontend layers. You will lead the end-to-end ML engineering lifecycle for edge deployments, ensuring high availability, observability, and scalability of the platform, globally.
KEY TASKS AND ACCOUNTABILITIES
•Own the backend engineering strategy for the platform, ensuring repos, pipelines, and modular components are structured for scalable integration with software applications and visualization layers
•Lead the entire deployment lifecycle, from model training to deployment and monitoring on devices
•Develop, and maintain a scalable ML pipeline that enables real-time analytics for Test & Learn experimentation across business functions
•Optimize and containerize models using Docker, and Azure Container Registry (ACR) etc. to ensure efficient execution in constrained environments.
•Own and manage the GitHub repository, ensuring structured, well-documented, and modularized code for seamless deployments
•Establish robust CI/CD pipelines for continuous integration and deployment of models and services
•Implement observability layers for data, feature, inference, and pipeline health (e.g., logging, monitoring, alerting), ensuring reliable and quick feedback loops
•Ensure compliance with security and governance best practices for data and model deployment in centralized data environments
•Collaborate with product and software teams to ensure backend architecture seamlessly integrates with frontend
•Mentor other team members and set technical standards and review processes for high-quality, scalable, and secure code delivery
•You will also develop internal tools/utilities that improve productivity of entire team
QUALIFICATIONS, EXPERIENCE, SKILLS
Education: Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline.
Experience: 5+ years of experience developing scalable and high-quality ML models and backend ML engineering infrastructure. Strong problem-solving skills with an owner’s mindset-proactively identifying and resolving bottlenecks
Technical/Functional Skills:
Mandatory Skills:
•Python (pandas, NumPy, SciPy, scikit-learn, TensorFlow)
•GitHub, Docker, CI/CD Pipelines
•ML Model Design & Deployment
•Model Deployment
•Azure Cloud Architecture for ML
•Containerization & Edge Deployment (Portainer, Kubernetes, ACR)
•Databricks (Workflows, Cluster Creation, Repo Management)
•Unit Testing
Preferred (Good to have) Skills:
•DevSecOps & Automation
•Computer Vision / Edge Vision Deployments
•Multi-repo or Monorepo ML Architecture
•Real-time Analytics & Edge AI Deployments
•Open-source ML Tooling Contributions
And above all of this, an undying love for beer!
We dream big to create a future with more cheers.