Senior MLOps Engineer

This is a fully remote position, open to applicants in Bulgaria.

📋 Description

• Design and develop our primary MLOps Platform encompassing the entire ML lifecycle.

• Create robust CI/CD workflows and enable self-service functionalities.

• Collaborate with Data Scientists, ML Engineers, and Infrastructure teams.

• Promote and implement MLOps best practices throughout the organization.

• Optimize infrastructure expenses and improve observability.

⛳️ Requirements

• Over 5 years of experience in MLOps, ML Engineering, or DevOps.

• In-depth hands-on knowledge of AWS SageMaker AI.

• Strong expertise in AWS cloud services, Python, and Terraform.

• Comprehensive understanding of the ML lifecycle and experience with container technologies (Docker, Kubernetes).

• Excellent communication skills.

• A solution-oriented approach with a strong enthusiasm for automation.

🏝️ Benefits

• Health insurance.

• Opportunities for professional development training.

• Flexible working arrangements.