AI Research Team Lead
Tasks
- Apply LLM prompt engineering and prompt tuning
- Build evaluation pipelines for accuracy latency cost
- Define research priorities and roadmap
- Design agentic workflows
- Develop evaluate and maintain NLP solutions
- Develop evaluate and maintain deep learning solutions
- Implement machine learning for clustering text extraction document analysis tabular classification
- Lead and mentor AI researchers
- Own end to end research lifecycle
- Perform production deployment and monitoring
- Set research strategic vision
- Translate data security challenges into experiments
- Use retrieval augmented generation
Perks/Benefits
- N/A
Skills/Tech-stack
Chain-of-Thought | Clustering | Cost Optimization | DPO | Data Classification | Deep learning | Document analysis | Efficient Fine Tuning | Evaluation Pipelines | Few-Shot Learning | Few-shot | Fine Tuning | Function Calling | Instruction Tuning | Language Models | Language Processing | Large Language Models | Latency optimization | LoRA | Machine Learning | Natural Language | Natural Language Processing | Parameter efficient fine-tuning | Prompt engineering | RLHF | Retrieval-Augmented Generation | Routing | Supervised Fine Tuning | Tabular Data | Tabular Data Classification | Text extraction | Tool/function calling
Education
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