AI Engineer / Scientist confirmé
Tasks
- Build machine learning and GenAI solutions
- Communicate results to internal and external stakeholders
- Conduct technology watch and innovation initiatives
- Deliver AI projects and products
- Deploy reusable AI assets
- Design technical architecture for AI delivery
- Ensure AI solution quality and security
- Implement MLOps and LLMOps practices
- Lead model production scalability reliability and cost
- Mentor junior data scientists and ML engineers
- Oversee NLP and GenAI solutions
Perks/Benefits
Skills/Tech-stack
APIs | Amazon Web Services | Azure | CI/CD | Cloud platform | DataOps | Deep learning | DevOps | Django | Docker | Flask | Git | Google Cloud | Google Cloud Platform | Kubernetes | LLM | LLMOps | MLOps | Microservices | NLP | NVIDIA CUDA | Neural Networks | Project Management | PyTorch | Python | RAG | Scikit-learn | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
Regions
Countries
States
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