We're seeking aSenior Data Scientistto lead the development of advanced AI solutions that power deep research, scientific reasoning, and strategic decision-making.
You'll work withlarge language models (LLMs),retrieval-augmented generation (RAG)systems, andGraph-RAG architecturesto create intelligent tools that extract and synthesize insights from complex, unstructured data.
This role is ideal for someone who thrives at the intersection of machine learning, knowledge representation, and real-world impact, and who is excited to help shape the future of how research is conducted in global health, legal, scientific, and financial domains.
What You'll Do
Design and developLLM-powered applicationsfor tasks such as document analysis, summarization, knowledge extraction, and reasoning.
Build and optimizeRAG pipelineswith custom retrieval logic, vector databases, and hybrid search strategies.
Implement and integrateknowledge graphsinto 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.
What You Bring
M.Sc.
or Ph.D. in Computer Science, or related field.
Proven experience withLLMs, including prompt design, fine-tuning, and evaluation.
Strong understanding ofretrieval-based systems(e.g., FAISS, Weaviate, Elasticsearch, Pinecone).
Experience withLangChain,LlamaIndex,HuggingFace Transformers, andPyTorch.
Familiarity withknowledge graph design and integration(e.g., Neo4j, RDF, NetworkX).
Solid software engineering practices and hands-on coding ability inPython.
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.
Nice to Have
Familiarity withGraph-RAG,Anthropic's MCP, or agentic system orchestration.
Experience working with sensitive, domain-specific data (e.g., healthcare, global development, legal).
Contributions to open-source projects, publications, or technical blogs.
Knowledge of scientific reasoning, ontologies, or structured metadata in research workflows.
Why Join Us
Shape the next generation ofAI research toolsgrounded 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
Pay: R$10,000.00 - R$20,000.00 per month