We are seeking a Developer Trainee to join our Machine Learning Use Case team within the System-on-Chip (SoC) division. The team focuses on developing AI/ML-based solutions for mobile network Layer 1 (L1) processing. This position involves creating data analytics tools for visualization and processing to support ongoing analysis needs in machine learning applications.

Must-have:

• Intermediate-level Python skills, including familiarity with libraries like Num Py, Sci Py, Pandas, and Matplotlib.
• Understanding of concepts such as Fourier Transform, filtering, and modulation, with hands-on experience using tools like MATLAB or Sci Py.
• Knowledge of cellular networks, wireless communication, and network protocols.
• Experience with Git for code management and collaboration.
• Ability to work in Linux/Unix environments for scripting and system-level tasks.

Nice-to-have

• Basic understanding of machine learning frameworks (e.g., Tensor Flow, Py Torch) and applications in signal processing or telecommunications.

• Strong communication, teamwork, problem-solving abilities, and eagerness to learn new technologies.

• Develop data analytics tools for data visualization and processing.

• Support data analysis tasks within the Machine Learning Use Case team.

• Collaborate with team members to address analytical needs in AI/ML-based solutions for mobile networks.

• Maintain clean, modular, and well-documented code using Python.

• Utilize version control systems (e.g., Git) for collaborative development.