Key Responsibilities
- Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
- Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
- Create robust evaluation frameworks for measuring and improving model performance
- Build and maintain agentic workflows for autonomous AI systems
- Collaborate with cross-functional teams to identify opportunities and implement AI solutions
Requirements
- Bachelor's or Master's degree in Computer Science or related technical field
- 3+ years of experience in Machine Learning/AI engineering
- Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
- Practical experience with LLM deployments and fine-tuning
- Experience with vector databases and embedding models