Job Description
Work Location: Bangalore
Work Mode: Hybrid
Experience: 5+ Years
Job Description:
- Build, deploy, and scale machine learning platforms and distributed ML workloads.
- Ray.io is a key platform, but candidates do not need prior Ray experience if fundamentals are strong.
Core Requirements (Must-Have):
- Strong experience as an ML Platform Engineer
- Hands-on experience with:
- TensorFlow
- PyTorch
- LLMs / generative AI models
- Proven ability to:
- Build ML pipelines
- Deploy models into production
- Run ML workloads at scale
- Strong Kubernetes knowledge (mandatory)
- Solid understanding of distributed systems and cloud-native architecture
Ray.io Expectations:
- Prior Ray experience is a plus, not a blocker
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