Ingénieur Intelligence Artificielle H/F - AI / ML Engineer
Tasks
- Deploy and integrate models to production
- Develop proofs of concept and minimum viable products
- Identify AI ML opportunities with business stakeholders
- Implement MLOps practices
- Lead end-to-end model development
- Maintain model documentation and reporting
- Perform data exploration and feature engineering
- Scale AI ML solutions in cloud and edge
- Stay current with AI/ML research
- Train and evaluate AI/ML models
- Translate business needs into AI ML concepts
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Clustering | Deep learning | Dimensionality Reduction | Keras | Language Processing | MLOps | Machine Learning | Matplotlib | Natural Language | Natural Language Processing | NumPy | Pandas | Power BI | PyTorch | Python | Reinforcement Learning | SQL | Scikit-learn | Series analysis | Tableau | TensorFlow | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
Regions
Countries
States
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