Responsibilities
- Create and execute a thorough MLOps strategy to facilitate the smooth incorporation of machine learning models into the existing system.
- Design, implement, and maintain scalable and automated MLOps pipelines for data ingestion, training, evaluation, deployment, and monitoring.
- Develop internal tools or integrate existing solutions for versioning, model registry, CI/CD, and observability.
- Work with cross-functional teams to design, deploy, and manage scalable infrastructure for machine learning workloads.
- Oversee the entire development lifecycle from design to incident response.
- Collaborate with data scientists, software engineers, and other stakeholders to understand model requirements, deployment needs, and data dependencies.
- Improve operational systems using machine learning
Compensation
Competitive salary with annual performance review
Work Arrangement
Hybrid — Belarus, Moldova
Team
Remote b2b or hybrid work opportunity
Other
- Stable job with long-term growth perspective
- Really good hardware
- Continuous learning and career growth opportunities
- Compensation for professional training, seminars, and conferences
- Referral program – get rewarded for helping us grow the team with talented people
- Company-supported English classes to enhance your professional growth
- More perks for the Minsk and Chisinau office employees
- Strong communication skills (English B2+)
