AI Engineer/ML
Tasks
- Build RAG solutions
- Build and interpret econometric models
- Design AI agent systems
- Design, develop, and deploy machine learning solutions
- Develop production AI systems
- Implement MLOps pipelines
- Implement tool calling
- Integrate LLM with APIs and data sources
- Orchestrate agent workflows
Perks/Benefits
- Flexible hours
- Internal promotions
- Life insurance
- Multisport pass
- Private medical care
- Remote work
- Team events
- Training and development
Skills/Tech-stack
AWS | Agent memory | Azure | CI/CD | Deep learning | Docker | GCP | Generative AI | Git | LLM | Language Models | Large Language Models | MLOps | Machine Learning | PyTorch | Python | RAG | SQL | Scikit-learn | TensorFlow | Tool-Calling | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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