Ingénieur Intelligence Artificielle H/F - AI / ML Engineer
Tasks
- Advise stakeholders on AI ML capabilities and limits
- Build proofs of concept and minimum viable products
- Deploy integrate and scale AI ML solutions in production
- Design develop validate optimize AI ML models
- Identify AI/ML opportunities
- Implement MLOps best practices
- Maintain technical documentation and model reports
- Monitor models and manage lifecycle
- Perform data exploration and feature engineering
- Support cloud and edge deployments
- Train and evaluate machine learning models
- Translate business needs into AI ML concepts
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Azure | CI/CD | Clustering | Data Visualization | Deep learning | Dimensionality Reduction | Feature Engineering | Keras | LLM | MLOps | Matplotlib | Model Evaluation | Model Training | NLP | NumPy | Pandas | Power BI | PyTorch | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | 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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