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

Positive to have:
Experience with MLOps tooling
Experience with distributed training frameworks

Note: Candidate with prior/current experience with TCS, please do not apply.

📌 Technical Support Engineer Ai Ml Gujarat
🏢 Tata Consultancy Services
📍 Gujarat