• Monitor ML processes and performances and their impact on the factory
• Tune such models and adapt them continuously
• Explore data, monitoring and helping increase their quality
• Facilitate the communication between HQ team and the plant workers
A. Must-have
• Good knowledge of machine learning (ML) models - • Experience in ML models deployment and lifecycle management (MLOps)
• Advanced knowledge of Python, TDD and OOP
• Data visualization expertise
• Advanced knowledge of SQL
• Experience with GIT
• Good communication skills and empathy
• Curiosity
B Required:
• Experience with scientific libraries (pandas, scipy, numpy, jupyter), scikit-learn, statsmodels and related machine learning/stats/data mining packages
• Knowledge of CI/CD
• Experience with Docker
C. Desired skills:
• Experience with deep learning
• Experience in Apache Spark
• Working experience with AWS cloud framework and services
• Knowledge of Kubernetes
Core skills:
• Self-organizing ability
• Ability to communicate and collaborate with other team members
• Sharp critical thinking
Is considered a plus:
• Prior experience using agile and scrum
• Previous experience in professional end-to-end ML projects
Required languages English (mandatory) / Italian (nice to have)
Instruction level Master in Computer Science, Physics, Math, Engineering, Statistics or any other data-oriented or coding related disciplines.
PhD is a plus.
Seniority level At least 4 years of experience developing in Python or other languages.