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Job Description
Position Overview:
- We are on the lookout for an AI ML Ops Engineer to develop and oversee robust AI platforms, streamline deployment pipelines, and guarantee excellence in operations across AI ML workloads.
- This position blends expertise in MLOps, DevOps, and platform engineering.
Primary Responsibilities:
- Primary Responsibilities
- Create and sustain AI ML deployment platforms.
- Establish CI CD pipelines for AI solutions.
- Deploy, serve, and monitor machine learning and large language models (LLMs).
- Manage AI infrastructure based on Kubernetes.
- Develop processes for experiment tracking and model governance.
- Facilitate observability and monitoring throughout AI systems.
- Enhance AI platforms for scalability, security, and reliability.
Technical Qualifications:
- Proficient in Azure ML, SageMaker, Vertex AI, or Databricks.
- Practical experience with Jenkins, GitHub Actions, ArgoCD, Kubeflow, or MLflow.
- Understanding of Responsible AI and model governance frameworks.