Data Scientist

Innova Solutions; Valencia; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

Innova Solutions recherche un data scientist passionné par le traitement du langage naturel et l'IA générative. Dans ce rôle pratique, vous serez chargé de concevoir et de déployer des modèles ML de haute qualité pour le secteur pharmaceutique, collaborant avec des experts pour créer des systèmes intelligents. Si vous avez au moins 2 ans d'expérience dans ce domaine et que vous maîtrisez Python et les techniques d'IA modernes, cette opportunité est faite pour vous.

Formación

• Minimum 2 ans d'expérience en data science ou machine learning.
• Solide expérience en NLP et AI générative.
• Compétences avancées en programmation Python.

Responsabilidades

• Concevoir et développer des solutions NLP et AI générative.
• Construire des pipelines AI robustes et évolutifs.
• Déployer des modèles de production sur des services AWS.

Conocimientos

Natural Language Processing

Generative AI

Machine Learning

APIs

Python

MLOps

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).

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