Design and implement AI/ML pipelines across data ingestion, feature engineering, model training
Develop LLM-based solutions on hybrid cloud and on-premises infrastructure
Build NLP pipelines for info extraction, classification, semantic search, and doc understanding
Develop production AI services and APIs with FastAPI or similar
Deploy AI workloads to Azure and/or AWS and edge devices (NVIDIA Jetson Orin/Xavier NX)
Contribute to infrastructure automation with Terraform, Ansible, and Docker

🎯 Requirements

3+ years hands-on AI/ML engineering experience delivering production AI solutions
Python, REST APIs, performance optimization, secure API development
NLP & ML: Transformers, LLMs (Mistral, LLaMA), RAG, prompt tuning, vector search, OCR
Cloud Platforms: Azure and/or AWS
MLOps & Infrastructure: Docker, GitHub Actions, Terraform, Ansible, CI/CD
AI System Integration: edge inference, Ollama/ONNX, hybrid deployments, workload orchestration

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