Hybrid Master Thesis, Machine Learning Model, TLC Network

at Nokia

• Job title: Master Thesis, Machine Learning Model, TLC Network
• Job type: Internship
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Vimercate, Italy

About the role

• Develop and automate Machine Learning models for Telecommunications networks during Master’s Thesis Internship. Engage with real-world operational data from Nokia's Microwave Radio technology.

Responsibilities

• Your core responsibility will be the creation of a Machine Learning model. This model will be trained, tested, and integrated over a Nokia AI-based network analysis platform, contributing directly to our innovative solutions. This project is structured around three primary objectives:
• First, you will engage in an in-depth data discovery phase. This involves exploratory analysis and applying classical statistical methods to extract meaningful insights, define robust data preparation strategies, and guide effective feature engineering.
• Second, the project focuses on the design, development, validation, and optimization of a Machine Learning model. This stage demands methodological rigor in model selection and thorough performance evaluation to ensure high quality and effectiveness.
• Third, you will be responsible for the refinement of the codebase. This includes improving its usability and reproducibility, with particular attention to automation strategies to ensure scalability and effective deployment within the Nokia ecosystem.

Requirements

• Courses in Artificial Intelligence (AI) and Machine Learning (ML)
• Python programming skills with familiarity in standard Machine Learning frameworks
• Knowledge of data manipulation and preprocessing techniques
• Strong analytical thinking and the ability to translate methodological choices into measurable performance improvements
• Good English spoken and written
• Focus, commitment, and reliability, enabling effective interaction within multicultural and multilingual environments across multiple geographical sites
• It would be nice if you also had:
• Prior knowledge of the telecommunications domain
• Strong motivation to learn domain-specific concepts, actively engage with real industrial data, propose ideas, and develop critical thinking in the context of emerging technologies

Benefits

• Flexible and hybrid working schemes
• Well-being programs to support your mental and physical health
• Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
• Employee Growth Solutions to support your personalized career & skills development
• Diverse pool of Coaches & Mentors to whom you have easy access
• A learning environment that promotes personal growth and professional development - for your role and beyond