Machine Learning Lead
Pubblicato il 03-09-2026 - Altro in Italia
About This Vacancy
You will work at the intersection of data science, software engineering, and cloud technologies, transforming machine learning models into robust, production-ready applications. Collaborating with cross-functional teams, you will develop end-to-end ML pipelines, optimize model performance, and ensure the reliability, scalability, and efficiency of AI-powered systems.
Define machine learning system requirements, solution architectures, and technical specifications based on business and project objectives.
Perform data analysis, model feasibility assessments, and technology evaluations to support the development of scalable AI and machine learning solutions.
Design, develop, deploy, and optimize machine learning models, automated ML pipelines, and production-ready AI applications aligned with project goals.
Conduct model testing, validation, monitoring, troubleshooting, and technical documentation to ensure the reliability, scalability, performance, and maintainability of machine learning solutions in production environments.
What We Expect From You
MSc or PhD in Computer Science, Applied Mathematics or equivalent
Previous industry experience is considered a plus
Strong working knowledge of Python, Matlab, R
Working knowledge of common machine learning frameworks such as TensorFlow, PyTorch, Apache Spark, Keras
Proven experience in modeling physical-technical problems, risk modeling, algorithm development, image processing and / or data analysis is considered a plus
Experience with image processing is considered a plus
Good oral and written communication skills, both in Italian and English.
What You Can Expect From Us
The position offers a permanent employment contract, and the base gross annual salary (Gross Annual Salary – RAL ) will be no less than €32,000 , in line with the National Collective Bargaining Agreement (CCNL) for Commerce – Tertiary, Distribution and Services .
TMC is committed to offering a competitive compensation package. At the e