MLOps Implementation Engineer

Key Responsibilities:

• Interact with Analytics teams to gather requirements for Python and R container images.
• Resolve dependencies for the required Python and R packages.
• Identify and address any security vulnerabilities in the container images.
• Develop and maintain custom container images to ensure compatibility with SageMaker and Domino Data Lab.
• Test and validate container images to ensure they meet performance and reliability standards.
• Collaborate with cross-functional teams to ensure seamless integration and deployment of custom images.
• Document processes and provide training as needed to ensure team members can effectively use and manage the custom containers.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience in managing and developing custom containers, especially with Python and R.
• Strong expertise with Amazon SageMaker and its various components.
• Experience with Containerization technologies such as Docker.
• Knowledge of dependency management and package resolution for Python and R.
• Understanding of security best practices and vulnerability mitigation for container images.
• Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI/CD).
• Strong programming skills in Python and/or R.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.