ML Ops Engineer
Zeta Global1 day ago
Berlin, GermanyMid Level / Senior
H1B Sponsor
Responsibilities
- Design, build, and improve machine learning solutions in a cloud environment.
- Explore data and develop models for real business problems.
- Run rigorous experiments and bring best practices into production.
- Package models and build inference paths for deployment.
- Monitor performance and iterate on models post-launch.
- Collaborate with engineers, product partners, and data scientists.
Requirements
- 3+ years of software or applied machine learning experience.
- Strong foundation in machine learning, statistics, and experiment design.
- Proficient in Python and able to write clean, modular, testable code.
- Experience developing and deploying ML solutions in AWS.
- Ability to work with structured and unstructured data.
- Master's degree in Science or Engineering or equivalent practical experience.
Benefits
- Hands-on modeling work with opportunities to explore and improve systems.
- Collaboration on ML patent submissions and participation in research meetings.
- High trust and autonomy with clear goals and freedom in execution.
- Flexible hours and remote/home office options.
- Competitive compensation including stock options.