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Senior MLOps Engineer
RecruityTalentSenior MLOps Engineer designing and building MLOps platforms with a recruitment agency in Bulgaria. Collaborating with data scientists and engineers to ensure efficient machine learning operations.
Tech Stack
Tools & technologiesAWSCloudDockerKubernetesPythonTerraform
About the role
Key responsibilities & impact- Design and build our central MLOps Platform covering the complete ML lifecycle
- Architect robust CI/CD workflows and self-service capabilities
- Partner with Data Scientists, ML Engineers, and Infrastructure teams
- Establish and evangelize MLOps best practices across the organization
- Optimize infrastructure costs and enhance observability
Requirements
What you’ll need- 5+ years of experience in MLOps, ML Engineering, or DevOps
- Deep hands-on expertise with AWS SageMaker AI
- Strong proficiency in AWS cloud services, Python, and Terraform
- Solid understanding of the ML lifecycle and experience with containerization (Docker, Kubernetes)
- Exceptional communication skills
- Solution-oriented mindset with a passion for automation
Benefits
Comp & perks- Health insurance
- Professional development training
- Flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
MLOpsML EngineeringAWS SageMakerPythonTerraformContainerizationDockerKubernetes
Soft Skills
Exceptional Communication SkillsSolution-Oriented Mindset