Working Student AI Developer (AI)

TL;DR

Working Student AI Developer (AI): Supporting the retraining of state-of-the-art AI models for audio analysis and their deployment in containerized cloud environments with an accent on MLOps and performance monitoring. Focus on developing proof-of-concept web interfaces and building robust frameworks for model accuracy and latency benchmarking.

Location: Must be based in Kiel, Germany. Hybrid work available.

Company

A global leader in test and measurement, technology systems, and networks and cybersecurity solutions.

What you will do

• Assist in retraining AI models for audio analysis and deploying them into containerized cloud environments.
• Develop proof-of-concept web front-ends to showcase AI capabilities.
• Build frameworks for KPI monitoring and benchmarking model accuracy and latency.
• Monitor the latest technological advances in the fields of AI and machine learning.

Requirements

• Must be currently enrolled as a student in Electrical Engineering, Computer Science, Machine Learning, or a similar field.
• Proven experience with modern ML frameworks like TensorFlow, PyTorch, or JAX.
• Basic experience with cloud deployments and containerization (Docker, Kubernetes, or OpenShift).
• Familiarity with handling and processing large datasets.
• Ability to work up to 20 hours per week during the lecture period.

Nice to have

• Knowledge of front-end development using React, Angular, or Vue.

Culture & Benefits

• Flexible working hour models with remote work options.
• Attractive compensation and special payments.
• 30 days of annual vacation.
• Extensive opportunities for training and continuing education.
• Meal allowances and family services.