IA Engineer / Data Scientist – Générative AI (H/F)
Tasks
- Benchmark cloud and open source models
- Build REST APIs and GraphQL interfaces
- Containerize and orchestrate workflows
- Deploy models in production using MLOps
- Develop LLM fine tuning pipelines
- Document technical architecture and APIs
- Evaluate new generative AI models and techniques
- Implement RAG systems
- Implement automated unit and integration tests
- Integrate generative AI solutions into existing environments
- Log and trace model inferences
- Optimize latency and throughput
- Optimize prompts and processing chains
- Prototype Generative AI solutions
- Set up monitoring metrics and drift detection
- Train business teams on generative AI tools
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Machine Learning | Docker | ELK Stack | Google Vertex | Google Vertex AI | Grafana | GraphQL | Integration Testing | Kubeflow | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | Prometheus | PyTorch | Python | REST API | Retrieval-Augmented Generation | TensorFlow | Unit Testing | Vertex AI
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
Regions
Countries
States
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