Machine Learning
Pubblicato il 02-09-2026 - Tmc in Milano
About This Vacancy
I candidati sono invitati a leggere attentamente tutti gli elementi di questo annuncio. La preghiamo di inviare la sua candidatura tempestivamente.
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