Lead ML Ops Engineer

PlaySimple Games; Bengaluru Urban; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

PlaySimple Games, based in Bengaluru Urban, is seeking a Lead ML Platform / MLOps Engineer to design and operate AI-powered infrastructure. This role involves close collaboration with Data Science and engineering teams to enhance game experiences through Machine Learning.

The ideal candidate will have 5-8 years of experience in building MLOps infrastructure, strong Python skills, and familiarity with tools like Docker and Apache Spark. Join a fast-paced team focused on delivering innovative gaming solutions.

Qualifications

• 5–8 years of experience building Machine Learning platforms or MLOps infrastructure.
• Demonstrated experience deploying and operating production Machine Learning systems.
• Strong software engineering skills in Python.

Responsibilities

• Design and build scalable ML infrastructure supporting training, deployment, monitoring, and governance.
• Develop CI/CD pipelines for Machine Learning workflows.
• Build reliable model serving and inference platforms.

Skills

Machine Learning platforms

MLOps infrastructure

Software engineering in Python

Apache Spark

Distributed computing

Docker

AWS/Azure/GCP

Tools

AWS

Docker

Apache Spark

Job description

Bangalore North, India | Posted on 07/04/2026

We are one of India’s most exciting & fast-growing mobile gaming companies. Founded in 2014, and creating a global mobile gaming landscape in partnership with Modern Times Group (MTG), our Vision is to create simple, impactful casual game experiences at a massive scale. Since our inception, we have built a worldwide network of chart-topping games, and powerful tech & analytics infrastructure to turbocharge their growth. Our product portfolio consists of evergreen hits like Daily Themed Crossword, WordTrip, WordJam, WordRoll, TileMatch, Jigsaw, Wordy, 2248 Number Merge,Word Search Solitaire and Many more.

We are looking for a Lead ML Platform / MLOps Engineer to build and scale the infrastructure that powers AI across PlaySimple.

You will design, develop, and operate the platforms that enable Data Scientists to rapidly build, deploy, monitor, and continuously improve Machine Learning models in production. You will work closely with Data Science, Platform Engineering, and Product teams to build a world-class AI platform supporting experimentation, personalization, and intelligent decision‑making at scale.

Responsibilities

• Design and build scalable ML infrastructure supporting training, deployment, monitoring, and governance.
• Develop CI/CD pipelines for Machine Learning workflows.
• Build reliable model serving and inference platforms.
• Develop feature stores, experiment tracking, model registries, and automated deployment pipelines.
• Build infrastructure supporting LLM applications and Agentic AI workflows.
• Partner with Data Scientists to productionize Machine Learning models.
• Improve platform observability, reliability, scalability, and developer productivity.

Drive engineering best practices across the ML platform.

Requirements

• 5–8 years of experience building Machine Learning platforms or MLOps infrastructure.
• Demonstrated experience deploying and operating production Machine Learning systems.
• Strong software engineering skills in Python.
• Experience with Apache Spark and distributed computing.
• Strong understanding of modern MLOps practices.

Experience with:

• Docker
• Familiarity with Agentic AI concepts and orchestration platforms such as n8n.
• Experience with AWS, Azure, or GCP.
• Product experience in Gaming, Consumer Internet, E-commerce, Marketplace, or Decision Science platforms.
• Strong communication and collaboration skills.
• An avid gamer with a passion for understanding player behaviour and game mechanics.

What We Look For

• Excellent problem‑solving ability.
• Ownership and accountability.
• Curiosity for modern AI technologies.
• Ability to collaborate across cross‑functional teams.
• Comfortable working in a fast‑paced product environment.