Data Scientist

Innova Solutions; Marbella; A distancia; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading global technology services partner is seeking a Data Scientist to contribute to innovative AI solutions. This role focuses on natural language processing, generative AI, and machine learning systems for the pharmaceutical industry. The ideal candidate will possess strong Python skills and a solid understanding of AWS, with experience in producing scalable models and APIs. Join a diverse, award-winning team committed to excellence in technology.

Formación

• Minimum 2 years of industry experience in data science or machine learning.
• Expert-level Python programming skills and familiarity with LLM stacks.
• Experience with MLOps and system architecture.

Responsabilidades

• Design and develop NLP and generative AI solutions.
• Deploy models to production using AWS services, ensuring scalability.
• Collaborate with cross-functional teams to create technical AI solutions.

Conocimientos

Natural Language Processing (NLP)

Generative AI

Machine Learning

Python

AWS

Herramientas

FastAPI

Docker

Terraform

Descripción del empleo

Freelance (B2B contract)
Location: Spain
Work regime: Fully remote
Keywords: ML, LLMs, AI, Python, AWS

Position 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 focus on production-readiness, APIs, and scalable architecture. The role involves collaboration with AI engineers, product managers, and domain experts to develop intelligent systems for the pharma industry.

What you'll do :

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 (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 using AWS services such as ECS, Lambda, and S3, with attention to CI/CD, observability, and cost-effectiveness.
5. Architect scalable, maintainable, and secure ML systems, applying strong problem-solving skills to analyze complex issues and propose pragmatic solutions.
6. Explore new ML techniques, tools, or approaches creatively to push boundaries.
7. Work closely with cross-functional teams to translate business problems into technical AI solutions.
8. Contribute to a culture of technical excellence and innovation within a fast-moving AI/ML team.

What you bring :

• Minimum 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 skills, beyond notebooks, with 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 (Docker, Terraform, Azure DevOps, Github Actions) is a plus.
• Proven ability in system architecture, problem-solving, and leading projects from concept to deployment.
• Comfortable working independently in a remote, collaborative environment.

A little about us: Innova Solutions is a diverse, award-winning global technology services partner providing strategic technology, talent, and business transformation solutions since 1998. Headquartered in Atlanta, Georgia, with over 50,000 professionals worldwide, we operate globally across North America, Asia, and Europe, delivering services including data center migration and cloud workload development. We have received numerous recognitions for our workplace culture and excellence.