Machine Learning Engineer - confirmé (H/F)
Tasks
- Build data pipelines
- Contribute to LLMOps practices
- Contribute to MLOps practices
- Deploy machine learning applications in production
- Develop monitoring for applications and models
- Implement CI/CD deployment automation
- Improve model reliability
- Operate machine learning applications
- Orchestrate data pipelines
Perks/Benefits
- Cooptation program
- Integration events
- Paid time off
- Remote work
- Restaurant tickets
- Social and cultural activities
- Sustainable mobility support
Skills/Tech-stack
CI/CD | Cloud platform | Data Pipelines | Docker | Feature Engineering | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Model Evaluation | Model Training | Monitoring | PyTorch | Python | Scikit-learn | Statistics | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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