ML Ops Engineer
Zeta Global1 day ago
Prague, CzechiaMid Level / Senior
H1B Sponsor
Responsibilities
- Design, build, and improve machine learning solutions in a cloud environment.
- Explore data and develop models while running rigorous experiments.
- Ensure reliable and reproducible workflows for ML solutions.
- Package models and build inference paths for production.
- Monitor performance and iterate on models post-launch.
- Collaborate with engineers, product partners, and other data scientists.
Requirements
- 3+ years of software or applied ML experience.
- Strong foundation in machine learning, statistics, and experiment design.
- Experience building models for real business or product problems.
- Proficient in Python and able to write clean, modular, testable code.
- Experience developing and deploying ML solutions in a cloud environment, especially AWS.
- 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.