Stage 2026 - Data Science et Machine Learning/AI practitionner (H/F/N) (50% client, 50% R&D)
Tasks
- Analyze business requirements
- Build machine learning models
- Collaborate with clients to integrate solutions
- Collect, clean, preprocess data
- Conduct exploratory data analysis
- Define measurable objectives
- Develop and deploy machine learning solutions
- Develop new machine learning approaches
- Maintain code best practices for industrial software
- Optimize existing machine learning models
- Present results to clients
- Stay current with data science trends
- Translate business needs into technical problems
Perks/Benefits
- Art events
- Charity events
- Community events and seminars
- Flexible remote work
- Gaming events
- Great place to work
- Modern office location
- Music events
- Sport activities
- Training programs
Skills/Tech-stack
Data Visualization | Deep learning | ETL | Git | Langchain | Language Processing | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | Scikit-learn | Statistical Analysis | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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