Summer trainee, Data analysis

Job Description:

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.

* 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

Candidate Requirements:

Must-have:
* Intermediate-level Python skills, including familiarity with libraries like NumPy, SciPy, Pandas, and Matplotlib.
* Understanding of concepts such as Fourier Transform, filtering, and modulation, with hands-on experience using tools like MATLAB or SciPy.
* 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., TensorFlow, PyTorch) and applications in signal processing or telecommunications.
* Strong communication, teamwork, problem-solving abilities, and eagerness to learn new technologies