ML Architect

2 days ago

Princeton, NJ, United States Omni Inclusive Full time
ML Architect
  • Key Skills - Experience with Azure Machine Learning, Azure OpenAI, Azure DevOps, and AKS.
  • 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.
  • 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.

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