Machine Learning Engineer 100% (f/m/d)
Tasks
- Build multi-agent systems
- Collaborate with cross-functional teams
- Debug machine learning solutions
- Deploy machine learning solutions
- Design RAG systems
- Develop machine learning solutions
- Evaluate model performance
- Ground AI responses in enterprise data
- Implement function calling tools
- Integrate large language models
- Integrate models into existing systems
- Optimize agentic workflows
- Optimize machine learning models
- Perform code reviews
- Test and optimize system prompts
- Tune few shot examples
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic Workflows | Data Preprocessing | Debugging | Documentation | Feature Engineering | Few-Shot Learning | Few-shot | Function Calling | LLM orchestration | Language Models | Large Language Models | Linear Algebra | Model Evaluation | Multi-Agent | Multi-Agent Systems | Optimization | Probability | Prompt engineering | PyTorch | Python | RAG | TensorFlow | Testing | Version control
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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