MLOps Engineer
6 days ago
MLOps Implementation Engineer
About the Role:
Diverse Lynx LLC is seeking a highly skilled MLOps Implementation Engineer to join our team. As an MLOps Implementation Engineer, you will play a crucial role in containerizing machine learning 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.
Estimated Salary: $120,000 - $150,000 per year.
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