We're seeking a
Senior Data Scientist
to lead the development of advanced AI solutions that power deep research, scientific reasoning, and strategic decision-making. You'll work 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.
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 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.
What You Bring
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.
Nice to Have
Familiarity with
Graph-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 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
Pay: R$10,000.00 - R$20,000.00 per month