Machine Learning Engineer

AB InBev GCC India; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading global beverage company in Bengaluru is looking for a skilled Machine Learning Engineer to design, build, and deploy intelligent systems. You will collaborate with data scientists and engineers to enhance production systems and ensure their scalability. The ideal candidate should have 2-3 years of experience in ML engineering, proficiency in Python, and familiarity with databases like MSSQL. This role offers the chance to be at the forefront of ML innovations in a dynamic work environment.

Qualifications

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

Responsibilities

• Collaborate with data scientists and backend engineers.
• Build, maintain, and enhance ML pipelines.
• Deploy models into production environments.
• Monitor production systems and resolve issues.
• Implement CI/CD practices for ML models.
• Use containerization tools for deployment.

Skills

Proficiency in programming languages, especially Python

Strong experience with relational databases such as MSSQL

Hands-on experience with Redis, RabbitMQ, Celery

Working knowledge of Docker and containerised environments

Good understanding of CI/CD principles

Familiarity with machine learning frameworks like TensorFlow or PyTorch

Education

Bachelor's or master's degree in computer science, Data Science, Engineering or related field

Job description

Direct message the job poster from AB InBev GCC India

HR & Talent Acquisition Professional | Expertise in Full-Cycle Recruitment for IT, Analytics, R&D, Sales, Manufacturing, and Leadership hiring.

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 Description

Job Title: Machine Learning Engineer

Reporting to: Sr. Manager – Analytics

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 containerised 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 optimise system performance.
• Strong problem‑solving skills, attention to detail, and ability to work collaboratively.

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