Lead ML Ops Engineer
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About the role
PlaySimple builds gaming products and uses AI for experimentation, personalization and decision-making. You will build and operate ML infrastructure for training, deploying, monitoring and improving production models.
What you'll do
- Design scalable infrastructure for model training, deployment, monitoring and governance
- Develop CI/CD pipelines for machine learning workflows
- Build model serving, inference platforms and feature stores
- Optimize large-scale data processing with Apache Spark
- Support LLM applications and agentic AI workflows
- Partner with data scientists to productionize machine learning models
Skills
Must have
- Python
- Machine learning
- MLOPS
- Apache Spark
- Distributed computing
- Docker
- Kubernetes
- Model deployment
- Feature stores
- Model registries
Nice to have
Who it's for
- Experience
- 5 to 8 years
- Domain
- gaming
About PlaySimple
PlaySimple has 38 open roles in Bangalore, at PlaySimple Games, Anjaneya Techno Park. See every PlaySimple role.
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