Senior Machine Learning Engineer

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?

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 GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.

 

Do You Dream Big?

 

We Need You.

 

Job Description

Job Title:            Senior Machine Learning Engineer

Location:             Bangalore (Onsite)

Reporting to:     Senior Manager

 

PURPOSE OF ROLE

The Marketing GenAI Team at Anheuser-Busch InBev (AB InBev) is focused on building and scaling AI-powered solutions that enable business users to extract actionable insights from enterprise data.

 

As part of this team, you will work on improving, extending and scaling an in-house Gen AI insights product by customizing LLM behavior, integrating enterprise data systems, and improving its reliability in real-world scenarios.

 

KEY TASKS AND ACCOUNTABILITIES.

• Own the technical design and implementation of business-facing GenAI solutions built on top of the in-house Gen AI insights product
• Customize and optimize LLM behaviour through prompt engineering, context engineering, model selection, structured outputs, and evaluation-driven improvement.
• Evaluate the capabilities of the core AI product and identify opportunities to improve its usability, extensibility, reliability, and adoption across business domains.
• Translate business questions into structured analytical logic and AI workflows, and develop and maintain analytical tools using Python and SQL.
• Use observability and evaluation tools such as Langfuse to diagnose system behavior, trace agent workflows, analyze failures, and continuously improve production performance.
• Partner closely with the core product team to communicate business requirements, identify product gaps, validate new capabilities, and influence the product roadmap.
• Proactively identify technical risks, dependencies, and opportunities for simplification, automation, and reuse across AI initiatives.
• Leverage version control tools like Git for collaborative development, code management, and maintaining reproducibility of models.
• Stay current with advances in foundation models, agentic architectures, evaluation techniques, AI engineering practices, and enterprise GenAI platforms, and assess their relevance to the organization.
• Contribute to the technical strategy and long-term evolution of the organization’s AI capabilities by balancing innovation, business value, operational reliability, and responsible AI practices.

QUALIFICATIONS, EXPERIENCE, SKILLS

Education:

• Bachelor’s / Master’s degree in in Computer Science, Engineering or equivalent experience.

 

Experience:

• Minimum 5 years in a relevant field such as [Data Strategy / Business Analytics / L&D / Tech Transformation].

 

    Technical/Functional Skills: (Mention any technical, functional or tool related skill in this section)

Mandatory Skills:

• Python programming– Advanced
• LangChain and LangGraph – Advanced
• Prompt engineering and context engineering – Advanced
• Git – Advanced
• Understanding of agentic design patterns and workflow orchestration – Intermediate
• RAG, embeddings, semantic search – Intermediate
• Working with Databricks and modern data platforms – Intermediate
• Experience with Langfuse - Intermediate

 

Preferred (Good to have) Skills:

• Product Analytics – Beginner
• Docker and containerized development– Beginner

 

 

And above all of this, an undying love for beer!

We dream big to create a future with more cheers.