Senior Data Scientist - Advanced AI Researcher
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We're seeking a skilled Senior Data Scientist to lead the development of advanced AI solutions that power deep research and strategic decision-making.
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You'll work with large language models, retrieval-augmented generation systems, and Graph-RAG architectures to create intelligent tools that extract and synthesize insights from complex, unstructured data.
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This role is ideal for someone who thrives at the intersection of machine learning, knowledge representation, and real-world impact.
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Key Responsibilities:
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* Design and develop LLM-powered applications for tasks such as document analysis, summarization, knowledge extraction, and reasoning.
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* Build and optimize RAG pipelines with custom retrieval logic, vector databases, and hybrid search strategies.
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* Implement and integrate knowledge graphs into AI systems for enhanced explainability and structured reasoning (Graph-RAG).
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* Own the full pipeline from data ingestion and preprocessing to model deployment.
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* Collaborate with engineers and domain experts to define requirements, evaluate outputs, and iterate rapidly.
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Required Skills and Qualifications:
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* M.Sc. or Ph.D. in Computer Science or related field.
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* Proven experience with LLMs, including prompt design, fine-tuning, and evaluation.
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* Strong understanding of retrieval-based systems (e.g., FAISS, Weaviate, Elasticsearch, Pinecone).
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* Experience with LangChain, LlamaIndex, HuggingFace Transformers, and PyTorch.
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* Familiarity with knowledge graph design and integration (e.g., Neo4j, RDF, NetworkX).
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* Solid software engineering practices and hands-on coding ability in Python.
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* Experience with cloud-based or on-prem AI deployments, ideally in secure or hybrid environments.
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Benefits:
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Shape the next generation of AI research tools grounded in real-world needs.
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Join a fast-paced, mission-driven team with opportunities to own high-impact projects.
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Flexible, remote-friendly environment with strong learning and innovation culture.
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