Data Scientist

Job Title: Data Scientist

Job Type: B2B Contract

Duration: Long term

Location: 100% Remote within Spain

Overview

We’re seeking a passionate data scientist with a minimum of 2+ years of experience, specializing in Natural Language Processing (NLP), Generative AI, and traditional machine learning. The candidate should have a proven ability to develop and deploy high-impact, production-grade models. This role involves working across the full machine learning lifecycle, from prototyping to deployment, with a focus on production-readiness, APIs, and scalable architecture. Collaboration with AI engineers, product managers, and domain experts will be essential to develop intelligent systems for the pharma industry.

Responsibilities

1. Design and develop NLP and generative AI solutions using frameworks like LangChain, LlamaIndex, CrewAI, or directly with providers 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 utilizing AWS services such as ECS, Lambda, S3, with attention to CI/CD, observability, and cost optimization.
5. Architect scalable, maintainable, and secure ML systems.

Qualifications

1. Minimum 2 years of industry experience in data science or machine learning.
2. Strong background in NLP, LLMs, and generative AI, with familiarity with both theory and tooling.
3. Experience with modern LLM stacks like LangChain, LlamaIndex, CrewAI, or similar.
4. Proficiency in traditional ML methods using libraries such as scikit-learn, XGBoost, etc.
5. Expert-level Python programming skills, capable of writing clean, maintainable, and testable code beyond notebooks.
6. Experience in exposing models as production-ready APIs using FastAPI or similar frameworks.
7. Strong understanding of AWS services, especially ECS, Lambda, and S3.
8. Experience with MLOps and DevOps practices (e.g., Docker, Terraform, Azure DevOps, Github Actions) is a plus.