Data Scientist

Innova Solutions; Jaén; A distancia; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company is seeking a Data Scientist with expertise in Natural Language Processing and Generative AI. This role involves designing and developing AI solutions, deploying models, and collaborating with engineers and product managers to enhance insights in the pharma industry. Candidates should have a strong background in Python, AWS, and ML frameworks.

Formación

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

Responsabilidades

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

Conocimientos

Natural Language Processing

Generative AI

Machine Learning

Python

AWS

MLOps

Herramientas

FastAPI

scikit-learn

XGBoost

Docker

Terraform

Descripción del empleo

Job Title : Data Scientist

Job Type : B2B Contract

Duration : Long term

Location : 100% Remote within Spain

Overview

We’re looking for a data scientist with a minimum of 2+ years of experience who is passionate about Natural Language Processing (NLP), Generative AI, and traditional machine learning. The candidate should know how to ship high-impact, production-grade models. This is a hands-on role working across the full ML lifecycle: from prototyping to deployment, with a strong focus 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.

Responsibilities

1. Design and develop NLP and generative AI solutions using LLM frameworks like LangChain, LlamaIndex, CrewAI, or direct APIs such as OpenAI, Anthropic, HuggingFace.
2. Build and fine-tune traditional ML models (e.g., classification, regression, clustering) to support data-driven applications.
3. Create robust and scalable AI pipelines and APIs using Python and FastAPI.
4. Deploy models to production utilizing AWS services such as ECS, Lambda, S3, with attention to CI/CD, observability, and cost-effectiveness.
5. Architect scalable, maintainable, and secure ML systems.

Minimum Qualifications

• At least 2 years of industry experience in data science or machine learning.
• Strong background in NLP, LLMs, and generative AI—comfortable with both 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 programming, beyond notebooks—ability to 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 (e.g., Docker, Terraform, Azure DevOps, Github Actions) is a plus.