08 Aug
|
Tranzeal
|
Bengaluru
08 Aug
Tranzeal
Bengaluru
Senior MLOps Engineer
Experience: 5 Years
We are seeking a hands-on AI Deployment Engineer specializing in ML Engineering, Model Deployment, Model Governance, and Model Observability. The engineer will own the complete lifecycle of Deep Learning models, LLMs, and SLMs across cloud, on-premises, hybrid, and air-gapped settings.
Scope of Work
35 years in MLOps, LLMOps, ML Engineering, or AI Engineering.
• Solid Python development skills.
• Hands-on experience with Databricks and/or Azure ML.
• Experience with Deep Learning, LLMs, SLMs, RAG, and Hugging Face.
• Experience deploying models built using PyTorch and TensorFlow.
• Solid expertise in model deployment on:
o Kubernetes
o Databricks
o GPU Infrastructure
📌 Mlops Engineer Bengaluru
🏢 Tranzeal
📍 Bengaluru