Machine Learning Engineer 100% (f/m/d)
Tasks
- Collaborate with cross-functional teams for integrations
- Create multi-agent systems
- Deploy and optimize AI models
- Design and implement RAG systems
- Develop machine learning and AI solutions
- Evaluate machine learning and AI models
- Ground AI responses in enterprise data
- Implement tool calling capabilities
- Improve model performance through iteration
- Optimize agentic workflows for production
- Perform code reviews, testing, and debugging
- Test and optimize system prompts
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Artificial Intelligence | Data Preprocessing | Debugging | Documentation | Feature Engineering | Few-Shot Learning | Few-shot | LLM orchestration | Language Models | Large Language Models | Linear Algebra | Machine Learning | Model Evaluation | Model metrics | Multi-Agent | Multi-Agent Systems | Optimization | Probability | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Statistical Analysis | TensorFlow | Testing | Tool-Calling | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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