Remote MLOps Engineer L2

Description:

• The MLOps Engineer L2 position is a remote contractor role available in Guatemala, Argentina, Honduras, Mexico, Peru, and the Dominican Republic.
• Responsibilities include the deployment and automation of machine learning models.
• The role involves the maintenance of a feature store and the monitoring and maintenance of production models.
• Infrastructure management and scalability are key aspects of the job.
• The engineer will collaborate with Data Science and Data Engineering teams.
• Continuous Integration and Continuous Deployment (CI/CD) for machine learning is a critical responsibility.

Requirements:

• Candidates must have at least 2+ years of experience working with AWS and Python.
• Experience with AWS SageMaker and other AWS services such as Lambda, EventBridge, Glue, DynamoDB, S3, and Step Functions is required.
• Knowledge of MLOps and DevOps tools such as Git, Docker, Kubernetes, Terraform, or CloudFormation is necessary.
• Candidates should have experience in automating machine learning pipelines.
• Strong programming skills in Python are essential.
• An understanding of model monitoring in production and strategies to mitigate data drift is required.
• Experience with logging and monitoring tools such as CloudWatch or Datadog is necessary.
• Familiarity with SQL and NoSQL databases, especially DynamoDB and Redshift, is required.

Benefits:

• The position offers the flexibility of remote work.
• Candidates will have the opportunity to work in a collaborative environment with Data Science and Data Engineering teams.
• The role provides exposure to a variety of AWS services and tools, enhancing technical skills in MLOps and DevOps.
• There is potential for professional growth and development in the field of machine learning and infrastructure management.