
AI Research Innovation Leader
1 dia atrás
Drive AI innovation at the intersection of machine learning, knowledge representation, and real-world impact as a Senior Data Scientist.
Role OverviewLead the development of cutting-edge AI solutions that power deep research, scientific reasoning, and strategic decision-making. Collaborate with large language models (LLMs), retrieval-augmented generation (RAG) systems, and Graph-RAG architectures to create intelligent tools that extract and synthesize insights from complex, unstructured data.
Key Responsibilities- Design and develop LLM-powered applications for tasks such as document analysis, summarization, knowledge extraction, and reasoning.
- Build and optimize RAG pipelines with custom retrieval logic, vector databases, and hybrid search strategies.
- Implement and integrate knowledge graphs into AI systems for enhanced explainability and structured reasoning (Graph-RAG).
- Own the full pipeline from data ingestion and preprocessing (e.g., PDFs, scientific papers, grant documents) to model deployment.
- Collaborate with engineers and domain experts to define requirements, evaluate outputs, and iterate rapidly.
- Master's degree or Ph.D. in Computer Science, or related field.
- Proven experience with LLMs, including prompt design, fine-tuning, and evaluation.
- Strong understanding of retrieval-based systems (e.g., FAISS, Weaviate, Elasticsearch, Pinecone).
- Experience with LangChain, LlamaIndex, HuggingFace Transformers, and PyTorch.
- Familiarity with knowledge graph design and integration (e.g., Neo4j, RDF, NetworkX).
- Solid software engineering practices and hands-on coding ability in Python.
- Experience with cloud-based or on-prem AI deployments, ideally in secure or hybrid environments.
- Ability to lead projects independently, collaborate cross-functionally, and explain complex technical concepts clearly.
Why Join Our Mission?
- Shape the next generation of AI research tools grounded in real-world needs.
- Join a fast-paced, mission-driven team with opportunities to own high-impact projects.
- Flexible, remote-friendly environment with strong learning and innovation culture.
Job Type: Full-time
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