AWS SageMaker ML Engineer

Role: AWS SageMaker Engineer Location: Reston, VA ( Once In a month) Experience: 8+ Year Duration: Long Term Job Description: As a SageMaker V2 Migration and Custom Container Engineer, your primary responsibility will be to support the migration to SageMaker V2 and manage custom container environments. You will work closely with our Analytics teams to understand their specific needs for Python and R container images, resolve dependencies, address vulnerabilities, and ensure smooth deployment on SageMaker and Domino Data Lab. As an MLOps Implementation Engineer, your primary responsibility will be to understand and implement our pre-developed MLOps strategies across various tools, including Domino Data Lab and AWS SageMaker. You will play a crucial role in containerizing these models and developing automated processes to deploy them into AWS Batch, Amazon Elastic Container Registry (ECR), or Amazon Elastic Kubernetes Service (EKS). 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. Preferred Qualifications: Experience with AWS Cloud and its services like S3, ECR, EKS etc. Knowledge of infrastructure as code (IaC) using tools like Terraform or AWS CloudFormation. Understanding of machine learning model lifecycle management. Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Created: 2024-11-04