
AI Innovation Lead
2 semanas atrás
AI Innovation Lead
About the Role:We seek an accomplished Data Scientist to spearhead the development of cutting-edge AI solutions that fuel advanced research, analytical reasoning, and strategic decision-making.
You will lead the creation of intelligent tools that extract and synthesize insights from complex, unstructured data using large language models (LLMs), retrieval-augmented generation (RAG) systems, and Graph-RAG architectures.
Key Responsibilities:- Data Science Leadership: Design and develop LLM-powered applications for tasks like document analysis, summarization, knowledge extraction, and reasoning.
- RAG System Development: Build and optimize RAG pipelines with custom retrieval logic, vector databases, and hybrid search strategies.
- Knowledge Graph Integration: Implement and integrate knowledge graphs into AI systems for enhanced explainability and structured reasoning (Graph-RAG).
- Pipeline Management: Own the full pipeline from data ingestion and preprocessing (e.g., PDFs, scientific papers, grant documents) to model deployment.
- Cross-Functional Collaboration: Work with engineers and domain experts to define requirements, evaluate outputs, and iterate rapidly.
- M.Sc. 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.
- 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.
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