Job Description
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.
Numbers & Facts
| Location | Princeton, NJ |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
Skills
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Scienceunmatched
DevOpsunmatched
Dockerunmatched
High Availabilityunmatched
Identify Issuesunmatched
Machine Learningunmatched
Microsoft Windows Azureunmatched
Performance Managementunmatched
Production Controlunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
Test Plan/Scheduleunmatched
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