Data Scientist

Innova Solutions; Cataluña; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

A forward-thinking company is seeking a passionate data scientist with expertise in Natural Language Processing and Generative AI. This hands-on role involves working across the full machine learning lifecycle, from prototyping to deployment, focusing on production-readiness and scalable architecture. Collaborating with AI engineers and product managers, you'll develop intelligent systems that deliver next-generation insights for the pharma industry. If you thrive in a dynamic environment and are eager to contribute to impactful projects, this opportunity is perfect for you.

Formación

• 2+ years of experience in data science or machine learning.
• Strong background in NLP, LLMs, and generative AI.
• Expert-level Python programming skills.

Responsabilidades

• Design and develop NLP and generative AI solutions.
• Build and fine-tune traditional ML models for applications.
• Deploy models to production using AWS services.

Conocimientos

Natural Language Processing (NLP)

Generative AI

Machine Learning

Python

FastAPI

AWS

MLOps

DevOps

Educación

Bachelor's in Data Science or related field

Herramientas

LangChain

LlamaIndex

CrewAI

scikit-learn

XGBoost

Docker

Terraform

Github Actions

Descripción del empleo

We’re looking for a data scientist (minimum 2+ years of experience) who is passionate about Natural Language Processing (NLP), Generative AI, and traditional machine learning —and who knows how to ship high-impact, production-grade models. This is a hands-on role where you’ll work across the full ML lifecycle: from prototyping to deployment, with a strong emphasis on production-readiness, APIs, and scalable architecture.

You’ll collaborate with AI engineers, product managers, and domain experts to develop intelligent systems that power next-generation insights for the pharma industry.

What You’ll Do

• Design and develop NLP and generative AI solutions using LLM frameworks like LangChain, LlamaIndex, CrewAI, or direct model provider SDKs/APIs (e.g., OpenAI, Anthropic, HuggingFace).
• Build and fine-tune traditional ML models (e.g., classification, regression, clustering) to support data-driven applications.
• Create robust and scalable AI pipelines and APIs using Python and FastAPI.
• Deploy models to production using AWS services such as ECS, Lambda, and S3, with attention to CI/CD, observability, and cost-effectiveness.
• Apply strong system design principles to architect scalable, maintainable, and secure ML systems.

Who You Are

• Minimum 2 years of industry experience in data science or machine learning.
• Strong background in NLP, LLMs, and generative AI—comfortable with both the theory and tooling.
• Familiarity with modern LLM stacks such as LangChain, LlamaIndex, CrewAI, or similar.
• Skilled in traditional ML methods using libraries like scikit-learn, XGBoost, etc.
• Expert-level Python programmer (beyond notebooks)—you write clean, maintainable, testable code.
• Experience exposing models as production-ready APIs using FastAPI (or similar frameworks).
• Strong understanding of AWS services—especially ECS, Lambda, and S3.
• Experience with MLOps and DevOps best practices is a plus (e.g., Docker, Terraform, Azure DevOps, Github Actions).