Senior ML Ops Engineer | Senior ML Ops Engineer (m/f/d)
Agile Robots SE
Job Summary
As a Senior ML Ops Engineer, you will be instrumental in designing, building, and maintaining the core infrastructure that powers our Generative AI framework. Your day-to-day will involve architecting scalable and secure ML environments across various stages, automating the entire ML lifecycle from data ingestion to model deployment and monitoring. You will lead the design of CI/CD pipelines for ML workflows, ensuring reliability and reproducibility. A key aspect of this role is implementing advanced monitoring systems for performance and data drift, and developing robust tooling for model development, training, serving, and lifecycle management. This position offers the opportunity to bring cutting-edge AI solutions into production at scale within a dynamic, diverse, and highly qualified team.
Required Skills
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Experience
- 5+ years in DevOps, software engineering, or infrastructure roles
- 2-3 years in MLOps or production ML systems
- Proven track record with GPU-accelerated systems at scale
Languages
Additional
- Not specified
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