Machine Learning Engineer - Wireless Cellular Systems Analysis

This role is based in Munich, Germany.

Responsibilities:

Collaborate with wireless software engineering teams to develop AI-powered cellular performance analysis tools. Design and develop ML models for deep analysis of cellular logs, applying deep learning and reinforcement learning techniques.

Minimum Qualifications:

• Experience with machine learning algorithms and familiarity with ML libraries like TensorFlow, PyTorch, Scikit-learn.
• Programming skills in Python for ML model development.
• Understanding of 3GPP standards (4G/5G) and cellular communications systems.

Preferred Qualifications:

• Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, AI, or related fields.
• Knowledge of cloud-based ML deployment for large-scale modem log analysis.
• Experience in modem log analysis or Cellular SW development.