Machine Learning Engineer
Tasks
- Assess and integrate AI models
- Build multi-agent systems
- Debug machine learning solutions
- Deploy machine learning solutions
- Design RAG systems
- Develop machine learning solutions
- Evaluate machine learning models
- Ground AI responses in enterprise data
- Implement tool calling capabilities
- Integrate machine learning into existing systems
- Iterate on model performance
- Optimize agentic workflows
- Optimize machine learning solutions
- Participate in code reviews
- Test and optimize system prompts
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic Workflows | Debugging | Deep learning | Feature Engineering | Function Calling | LLM orchestration | Language Models | Large Language Models | Learning Metrics | Linear Algebra | Machine Learning | Machine learning metrics | Model Evaluation | Multi-Agent | Multi-Agent Systems | Optimization | Probability | PyTorch | Python | RAG | Statistical Analysis | TensorFlow | Testing | Version control
Education
N/A
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