Design, develop and deploy advanced AI/ML models for telecom use cases such as: Network optimization, Traffic prediction and anomaly detection, QoS/QoE modeling and root cause analysis
Apply and adapt state-of-the-art AI techniques, including: Deep Learning (CNNs, RNNs, Transformers), Reinforcement Learning for network optimization, Time-series modeling at scale
Work deeply with real telecom network data (3G/4G/5G), understanding KPIs, counters, and traffic dynamics
Build production-ready solutions, ensuring scalability, performance, and reliability
Collaborate closely with data engineers and telecom experts to integrate AI models into real systems
Act as a technical reference within the team, contributing to best practices and code quality
Explore and apply Generative AI and LLM-based approaches to telecom use cases

Bachelor’s or Master’s degree in Telecommunications Engineering (or related field)
6–8+ years of hands-on experience applying Machine Learning in technical environments
Strong, practical expertise in telecom networks (RAN, KPIs, traffic behavior)
Proven experience working with telecom network dataset
Deep knowledge of: Machine Learning & Deep Learning Neural Networks and model optimization
Time-series analysis
Strong programming skills in Python (NumPy, Pandas, PyTorch/TensorFlow)
Experience with SQL/NoSQL databases
Exposure to Generative AI / LLM technologies (prompt engineering, RAG pipelines, fine-tuning) and interest in applying them to telecom operations or network management contexts
Strong analytical mindset and problem-solving capabilities
English level B2+

Health insurance
Flexible Compensation Plan as an enterprise benefit
Annual training budget to help you stay technologically up to date and grow professionally
Time flexibility: our life is not just a working day; we give you flexibility both in entry and exit.
Reduced working day on Fridays and Summer (July and August).

Senior Data Scientist

Key skills