AI Research Scientist/Engineer
Tasks
- Build RAG pipelines for contextual code analysis
- Build and manage data pipelines for code datasets
- Communicate and document research findings
- Design and validate ML models for bugs vulnerabilities and code smells
- Develop LLM powered solutions for code analysis
- Explore agentic systems for automated code remediation
- Fine tune LLMs on proprietary codebases
- Integrate ML prototypes into production products
- Spearhead ML and LLM research and innovation
Perks/Benefits
Skills/Tech-stack
AWS | Data Pipelines | Deep learning | Fine Tuning | Hugging Face | Information Retrieval | Language Models | Language Processing | Large Language Models | LoRA | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | QLoRA | Retrieval-Augmented Generation | Semantic Search | TensorFlow | Vector Databases
Education
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