Internship in AI & Machine Learning (f/m/x)
Core
Develop AI-based solutions for real-world vision tasks, including agricultural applications, covering the full ML pipeline from data collection to edge-device deployment.
Role type
Internship, hands-on IC machine learning engineer (computer vision)
Builds
Application-oriented machine learning solutions for vision tasks
Domain
Computer vision, agriculture, edge computing
Deliverable
production ML models
Required skills
Python, PyTorch, data preprocessing, model quantization, hyperparameter tuning, embedded-device testing, software development principles
Preferred skills
vision foundation models, simulation-based data generation, edge-device deployment
Technologies
PyTorch, Python
Responsibilities
Develop efficient and reproducible workflows for ML solutions; prepare and acquire samples in the laboratory; implement metrics to assess data preprocessing quality; curate and version datasets; build data preprocessing pipelines; generate and evaluate synthetic data; run hyperparameter and model studies; automate embedded-device tests and optimize performance.
