Machine Learning Engineer 100% (f/m/d)
Tasks
- Assess large language models
- Build RAG systems
- Create few shot examples
- Deploy machine learning solutions
- Design multi-agent systems
- Develop machine learning solutions
- Evaluate machine learning models
- Ground responses in enterprise data
- Implement tool calling capabilities
- Integrate machine learning into existing systems
- Iterate to improve model performance
- Optimize agentic workflows
- Optimize machine learning solutions
- Participate in code reviews
- Test AI system prompts
- Test and debug machine learning solutions
- Use performance metrics for models
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Data Preprocessing | Debugging | Deep learning | Feature Engineering | Few-Shot Learning | Few-shot | LLM orchestration | Language Models | Large Language Models | Linear Algebra | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Optimization | Probability | Prompt engineering | PyTorch | Python | RAG | TensorFlow | Testing | Tool-Calling | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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