Data Scientist confirmé / AI Engineer
Tasks
- Build CI/CD pipelines for ML
- Continuously improve model reliability
- Define model evaluation metrics
- Deploy and operate solutions on Azure
- Deploy models via REST APIs
- Design machine learning models
- Evaluate ML and LLM performance
- Implement monitoring and error handling
- Integrate models into application workflows
- Manage infrastructure using Infrastructure as Code
Perks/Benefits
Skills/Tech-stack
Azure | CI/CD | Deep learning | Docker | Error Handling | GCP | Gemini API | Git | GitHub Actions | Infrastructure as Code | LLM | MLOps | Machine Learning | Monitoring | OpenAI API | Prompt engineering | Python | REST API | Retrieval-Augmented Generation | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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