MLOps Engineer
COMPETERA LIMITED
To develop tools and systems that enhance the ML models lifecycle in production, the full-time MLOps Engineer will create and optimize data pipelines, implement backend systems, and improve the development experience for Data Scientists in a remote environment. Key responsibilities Develop tools for Data Scientists to scale their operations and routines Create and optimize data pipelines and systems for ML models Build and optimize ML and mathematical algorithms based on Data Science research Required qualifications Education in STEM-related fields, preferably in Computer Science, Math, or Physics 5+ years of experience in Python programming Understanding of the ML models training lifecycle Familiarity with key ML principles and terms such as loss, training loop, and gradient descent #J-18808-Ljbffr COMPETERA LIMITED
Vacancy posted 2 days ago
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