Job description

Position: MLOPS Architect Location: Jersey, City, NJ***Hybrid, 3 Days Onsite in a Week*** MLOPS Architect • Document architecture, workflows, and best practices for knowledge sharing and compliance. • Provide technical oversight & Guidelines • Architect and implement end-to-end MLOps and LLMOps pipelines using Azure Machine Learning and Azure OpenAI. • Design scalable infrastructure for training, deploying, and monitoring ML and LLM models in production. • Collaborate with data scientists and engineers to streamline model development, testing, and deployment workflows. • Manage Azure Kubernetes Service (AKS) clusters and containerized ML workloads. • Ensure model governance, versioning, and reproducibility using tools like MLflow and Azure DevOps. • Promote DevSecOps practices, ensuring security and compliance are embedded in the ML lifecycle. • Monitor and troubleshoot production ML systems, ensuring high availability and performance. • Experience with Azure Machine Learning, Azure OpenAI, Azure DevOps, and AKS. • Proficiency in Python, Docker, Kubernetes, and CI/CD pipelines. • Experience with LLM fine-tuning, prompt engineering, and model deployment. • Familiarity with MLflow, Terraform, and monitoring tools like Prometheus/Grafana.

Requirements