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About the role
Required Technical Skill: - Compute fundamentals - Cloud platforms (GCP/AWS/Azure) - Generative AI (LLMs, Vertex AI, Dialogflow, Gemini) - ML development - AIML frameworks (PyTorch, TensorFlow, Jax, Ray, etc.) - AI accelerators (TPUs/GPUs) - Architectures Job Description: Deep understanding of compute fundamentals (virtualization, OS, containers) Experience with GCP, AWS, Azure AI/ML services Generative AI & LLM experience (Vertex AI, Dialogflow, Gemini) ML model development and deployment Experience with PyTorch, TensorFlow, Jax, Ray, etc. Experience with TPUs/GPUs and model architectures (encoders, decoders, transformers) Troubleshooting code experience (2+ years in Java, C, C++, Python, Shell, Go, JS) AIML experience (2+ years model development/deployment) Troubleshooting experience (3+ years diagnosis & issue resolution) Support methodology knowledge (case lifecycle, analysis) Google Cloud Associate Cloud Engineer certification CEFR B2 Communication Proficiency Ideally should be at least 3 years of hands-on with Linux Infra Good to have: Experience with MLOps tooling Experience with distributed training frameworks Note: Candidate with prior/current experience with TCS, please do not apply.
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