onsite
AI/ML Engineering Intern - Behavioral Safety - Synapticon GmbH
Software Engineer
Internship focused on developing AI/ML solutions to enhance behavioral safety, leveraging Python, machine learning frameworks, and data analysis techniques to build predictive models and safety dashboards.
About the role
Key Responsibilities
- Assist in designing and implementing machine learning models to predict and mitigate safety risks based on behavioral data.
- Collect, clean, and preprocess large datasets from sensors and user interactions for model training.
- Collaborate with cross‑functional teams to integrate ML insights into safety monitoring dashboards.
- Conduct experiments, evaluate model performance, and iterate on algorithms to improve accuracy.
- Document findings and contribute to technical reports and presentations.
Requirements
- Current enrollment in Computer Science, Data Science, or related field.
- Strong programming skills in Python and familiarity with ML libraries such as TensorFlow or PyTorch.
- Basic understanding of data analysis, statistical methods, and model evaluation.
- Excellent problem‑solving abilities and a proactive, collaborative mindset.
- Interest in safety engineering and behavioral analytics.
Skills
pythonmachine learningdata analysistensorflow