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?

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The centre 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 Title:

Location:

Reporting to:

PURPOSE OF ROLE

We are seeking a skilled and motivated Machine Learning Engineer to design, build, and deploy ML systems that power intelligent products and services. In this role, you will collaborate closely with data scientists, engineers, and product teams to deliver scalable and efficient solutions in production environments.

KEY TASKS AND ACCOUNTABILITIES

• Collaborate with data scientists and backend engineers to preprocess, clean, and structure data.
• Build, maintain, and enhance robust ML pipelines and production-grade systems.
• Deploy models into production environments and ensure scalability, reliability, and low latency.
• Monitor production systems, identify bottlenecks, and proactively resolve performance issues.
• Work with task management and messaging systems like Redis, RabbitMQ, and Celery.
• Implement basic CI/CD practices for ML models and pipelines.
• Use containerization tools like Docker to streamline deployment and testing.

QUALIFICATIONS, EXPERIENCE, SKILLS

Education:

• Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field (open to any degree with relevant experience).

Experience:

• Minimum 2–3 years of hands-on experience in Machine Learning engineering, AI projects, or system design.

Technical/Functional Skills:

Mandatory Skills:

• Proficiency in programming languages, especially Python.
• Strong experience with relational databases such as MSSQL.
• Hands-on experience with Redis, RabbitMQ, Celery, or similar tools.
• Working knowledge of Docker and containerized environments.
• Good understanding of CI/CD principles and practices for ML workflows.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or equivalent.

Preferred (Good to have) Skills:

• Solid foundational knowledge of

  statistics

  ,

  algorithms

  , and

  data science concepts

  .
• Ability to troubleshoot complex system issues and optimize system performance.
• Strong problem-solving skills, attention to detail, and ability to work collaboratively.

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

We dream big to create future with more cheers.