Machine Learning Operations Specialist

19 hours ago


Reston, Virginia, United States Diverse Lynx Full time
About the Company:
Diverse Lynx LLC is an Equal Employment Opportunity employer. We promote and support a diverse workforce across all levels in the company. As a hybrid company, we offer a unique blend of work-from-home flexibility and in-office collaboration.

Job Summary:
We are looking for a skilled MLOps Implementation Engineer to join our team. The successful candidate will have experience with containerization, machine learning operations, and AWS cloud services. This is a long-term opportunity with a competitive salary and benefits package.

Responsibilities:
* Implement MLOps strategies across various tools, including Domino Data Lab and AWS SageMaker.
* Containerize machine learning models and develop automated processes for deployment.
* Collaborate with cross-functional teams to ensure seamless integration and deployment of custom images.
* Document processes and provide training as needed.

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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