ML Ops Engineer

We are seeking a highly skilled MLOps Engineer with an overall experience 5 years with 3 years as ML Engineer particularly in building and managing ML pipelines in AWS. The ideal candidate has successfully built and deployed at least two MLOps projects using Amazon SageMaker or similar services, with a strong foundation in infrastructure as code and a keen understanding of MLOps best practices.

Key Responsibilities:

• Maintain and enhance existing ML pipelines in AWS with a focus on Infrastructure as Code using cloud Formation.
• Implement minimal but essential pipeline extensions to support ongoing data science workstream.
• Document infrastructure usage, architecture, and design using tools like Confluence, GitHub Wikis, and system diagrams.
• Act as the internal infrastructure expert, collaborating with data scientists to guide and support model deployments.
• Research and implement optimization strategies for ML workflows and infrastructure.
• Work independently and collaboratively with cross-functional teams to support ML product deployment and re-platforming initiatives.