Machine Learning Engineer
Tasks
- Assess and integrate language models for performance and reliability
- Build multi agent systems with tool calling
- Deploy and optimize machine learning and AI models
- Design and implement retrieval-augmented generation systems
- Develop machine learning and AI solutions
- Evaluate model performance using metrics and evaluation sets
- Integrate machine learning solutions into existing systems
- Optimize agentic workflows for production
- Perform code reviews, testing, and debugging
- Test and optimize system prompts and few shot examples
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Artificial Intelligence | Best practices | Data Preprocessing | Debugging | Development Best Practices | Feature Engineering | LLM orchestration | Language Models | Large Language Models | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | PyTorch | Python | RAG | Software Development Best Practices | Software development | TensorFlow | Testing | Tool-Calling | Version control
Education
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