We're looking for a Data Scientist with strong background in math, statistics, and programming, who has experience with language models (LLMs) and machine learning. Desirable: Agentic AI framework knowledge. The ideal candidate has previous experience with industry projects using Natural Language Processing (NLP) techniques for unstructured text analysis.

Responsibilities:

Build end-to-end solutions using LLMs and NLP for unstructured text use cases (extraction, classification, summarization, Q&A).
Design and implement RAG pipelines, including chunking strategies, embeddings, vector search, evaluation, and prompt optimization.
Develop AI agent workflows (tool use, planning/execution patterns, guardrails, and memory where applicable).
Deploy models and pipelines via APIs (REST) and integrate them into product workflows.
Apply best practices for testing, documentation, CI-friendly code, and Git-based version control.
Collaborate with cross-functional teams (data, engineering, product, domain experts) in an international environment.

Requirements:

1+ year of experience in Data Science and NLP projects, delivering real solutions (industry, internship, or applied projects).
Strong knowledge of Python and ML frameworks (PyTorch and/or TensorFlow).
Understanding of Transformer architectures and modern NLP methods.
Experience using LLMs via third-party APIs (required: OpenAI API or equivalent such as Anthropic).
Experience with LangChain (agentic workfl ows, chains, tool integrations, RAG components).
Experience with open-source NLP/LLM tooling such as Hugging Face (models, tokenizers, pipelines, fi ne-tuning basics).
Hands-on experience with: Prompt engineering, RAG systems, Embeddings for semantic search
OCR for document processing and unstructured data extraction

Nice to have: experience working with legal documents

Must: Advanced English skills (B2 - C1)

Equal Opportunity Employer

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

FP Alpha

Vacantes recientes

Data Scientist