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 environments.
Scope of Work
35 years in MLOps, LLMOps, ML Engineering, or AI Engineering.
- Strong 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: