✨ About The Role
- The role involves developing and maintaining reusable ML pipelines and systems.
- Collaboration with cross-functional teams is key to enhancing user experiences and meeting business needs.
- The candidate will focus on model monitoring and optimization, including performance tracking and drift detection.
- Setting up deployment infrastructure and implementing automated monitoring processes is part of the job.
- The role requires designing systems to measure the impact of ML-powered products effectively.
âš¡ Requirements
- The ideal candidate has over 5 years of professional experience in data science or machine learning engineering.
- Proficiency in SQL and Python is essential, along with strong software engineering skills.
- A collaborative team player who values communication and seeks feedback on their work.
- The candidate should be enthusiastic about researching cutting-edge ML solutions and be excited by complex challenges.
- A deep understanding of the context and business impact of their work is crucial.