At
agap2
, we are looking for a
Data Scientist
to join an international environment and work on challenging
Data Science and Artificial Intelligence projects
.

We are looking for a professional with a strong background in both
classical AI and Generative AI
, with hands-on experience developing models and turning data-driven solutions into real business value.

What will you do?
- Design, develop and evaluate
Machine Learning and predictive models
to solve complex business problems.
- Work across different areas of
Data Science and Artificial Intelligence
, selecting the most appropriate techniques for each use case.
- Develop solutions based on
Generative AI like Large Language Models (LLMs)
.
- Design and implement
RAG (Retrieval-Augmented Generation)
solutions and other LLM-based architectures.
- Work with
Python
and the main libraries and frameworks used in Data Science and Machine Learning.
- Stay up to date with new developments in
Machine Learning, Generative AI and LLM technologies
.

What are we looking for?
- Professional experience as a
Data Scientist,



Machine Learning Engineer or similar role
.
- Proven hands-on experience developing
Machine Learning and predictive models
.
- Practical experience with both
Classical AI / Machine Learning and Generative AI
.
- Experience working with
LLMs
and Generative AI solutions.
- Experience with
RAG architectures
and related techniques such as embeddings and semantic search.
- Strong programming skills in
Python
.
- Fluent
English
, both written and spoken. English is the working language of the team.

Nice to have
- Experience with
Deep Learning
and frameworks such as PyTorch or TensorFlow.
- Knowledge of
SQL
and experience working with structured and unstructured data.
- Experience with LLM frameworks such as
LangChain, LangGraph, LlamaIndex
or similar.
- Experience using APIs from LLM providers such as
OpenAI, Anthropic
or similar.

What do we offer?
- Stable position within an international and technology-drive

📌 Data Scientist (Viladecans)
🏢 agap2 Spain
📍 Viladecans