Machine Learning Engineer 100% (f/m/d)
Tasks
- Build multi-agent systems
- Collaborate with platform and data teams
- Create few shot examples for AI outputs
- Debug machine learning solutions
- Deploy machine learning and AI solutions
- Design retrieval-augmented generation systems
- Develop machine learning and AI solutions
- Evaluate machine learning and AI models using metrics
- Ground AI responses in enterprise data
- Implement function calling for AI models
- Integrate ML solutions into existing systems
- Integrate and evaluate large language models
- Iterate model improvements
- Optimize agentic workflows for production
- Optimize machine learning and AI solutions
- Perform code reviews for ML solutions
- Test and optimize system prompts
- Test machine learning solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | 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 | PyTorch | Python | RAG | Retrieval-Augmented Generation | Statistical modeling | System prompting | TensorFlow | Testing | Version control
Education
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