Urgent Need MLOps Implementation Engineer---Reston,VA(Onsite)

Role: MLOps Implementation Engineer
Location: Reston,VA(Onsite)

Job Description

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).

Additional info :

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.

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Bharath Pammi Team Lead bharath.p@avanceservices.us
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