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 role involves working across the full ML lifecycle, from prototyping to deployment, with a focus on production-readiness, APIs, and scalable architecture. Collaborate with AI engineers, product managers, and domain experts to develop intelligent systems 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 providers such as OpenAI, Anthropic, HuggingFace.
- Build and fine-tune traditional ML models (classification, regression, clustering) for data-driven applications.
- Create robust, scalable AI pipelines and APIs using Python and FastAPI.
- Deploy models to production with AWS services such as ECS, Lambda, S3, emphasizing CI/CD, observability, and cost-efficiency.
- Architect scalable, maintainable, and secure ML systems.
- Apply critical thinking to analyze complex problems, identify edge cases, and propose pragmatic solutions.
- Explore new ML techniques and tools to innovate and push boundaries.
- Work closely with cross-functional teams to translate business problems into technical AI solutions.
- Contribute to a culture of technical excellence and innovation in a fast-paced, remote team.
What you bring:
- Minimum 2 years of experience in data science or machine learning.
- Strong background in NLP, LLMs, and generative AI, with familiarity with tools like LangChain, LlamaIndex, CrewAI.
- Proficiency in traditional ML libraries such as scikit-learn, XGBoost.
- Expert-level Python skills; ability to write clean, maintainable, testable code.
- Experience deploying models as production APIs using FastAPI or similar frameworks.
- Solid understanding of AWS services—ECS, Lambda, S3.
- Experience with MLOps/DevOps practices (Docker, Terraform, Azure DevOps, Github Actions) is a plus.
- Proven ability to lead projects from concept to deployment independently.
- Comfortable working in a fast-paced, collaborative, remote environment.
A little about us: Innova Solutions is a diverse, award-winning global technology services provider, founded in 1998, headquartered in Atlanta, Georgia. We employ over 50,000 professionals worldwide, delivering strategic technology and business transformation solutions globally. Our recognitions include Women’s Choice Awards, Forbes listings, Globee Awards, and Stevie International Business Awards.