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5 days ago
We're looking for a skilled Machine Learning Specialist to join our Data Engine team and contribute to the development of high-quality AI products.
The Data Engine team is responsible for creating large-scale, labeled datasets that fuel our machine learning models. We're working on a self-improving system that optimizes both model training effectiveness and labelling resource allocation.
Great AI starts with excellent data.
Main Responsibilities- Create and optimize backend services, APIs, and databases that support our ML data workflows
- Design and maintain sophisticated labeling and data systems using Python, SQL, Kubernetes, Argo, and GitLab
- Collaborate with data scientists and engineers to develop seamless workflows across diverse ML applications
- Mentor junior engineers while promoting collaboration and operational excellence
- 5+ years experience building scalable software systems (ideally in ML/MLOps environments)
- Strong proficiency in Python and distributed systems on Linux
- Proven track record with CI/CD pipelines, monitoring, and production optimization
- Excellent communication skills – ability to work closely with data scientists and engineers
- Bonus points for experience with Docker, Kubernetes, Snowflake, and AWS services
- A collaborative environment where you can grow professionally
- Opportunities to work on cutting-edge AI projects
- Flexible work arrangements and opportunities for professional growth
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