Machine learning and data infrastructure

מדובר על חצי משרה / משרה מלאה
במשרדי הלקוח באיזור זיכרון
למי שעונה על הדרישות מטה - כפרילנסר כרגע


ML Ops job description:
The role involves developing and scaling machine learning and data infrastructure to support cloud and edge analytics solutions. Key responsibilities include managing the full ML lifecycle—training, evaluation, deployment, and monitoring—alongside building ETL pipelines, CI/CD systems, and model monitoring frameworks. Candidates must have strong experience with Python, SQL, machine learning frameworks, server-side technologies, cloud platforms (preferably Azure), and containerization tools like Docker. Familiarity with MLOps tools, feature stores, and edge device orchestration is also important.