Data Scientist

This is a remote position.

At Madiff, we connect top IT talent with cutting-edge companies through remote Agile teams and nearshore outsourcing. With operations in Poland, Portugal, France, and the UK, we specialize in AI, DevOps, and Cybersecurity – supporting industries like Telecom, Banking, and Hi-Tech.

Are you excited about the future of Generative AI and want to shape how enterprises apply LLMs and ML at scale?

We’re looking for a Data Scientist with Generative AI expertise to support the AI transformation program of a leading global consulting firm.

What you will do:

• Design, fine-tune and optimize LLMs and GenAI pipelines using Python, PyTorch, TensorFlow, MLflow, and LangChain
  
• Build and scale RAG systems and advanced prompting (chain-of-thought, function-calling)
  
• Develop and deploy predictive models (classification, time-series forecasting) in CI/CD environments with Docker and MLflow
  
• Implement robust AI governance frameworks – including compliance, monitoring, and ethical guidelines
  
• Lead internal adoption workshops, mentor junior team members, and drive business alignment
  
• Collaborate on data ingestion, feature engineering, model evaluation, and feedback loops
  

Requirements

• 3–4+ years as a Data Scientist, with practical experience in GenAI and ML workflows
  
• Excellent Python skills with PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy
  
• Experience with cloud platforms (Azure, Databricks) and MLOps tools like MLflow, CI/CD
  
• Proven success in LLM fine-tuning, prompt engineering, and RAG architecture
  
• Solid knowledge of forecasting and predictive modeling
  
• Strong communication, stakeholder engagement, and mentoring abilities
  
• Fluent English - spoken and written

Nice to Have:

• Familiarity with Dataiku, Apache Spark, GraphQL, or React Native
  
• Domain experience in healthcare or fintech
  
• Advanced degree (MSc/PhD) in Data Science, AI, or related field

Benefits

• Fully remote work set-up
  
• Comprehensive medical care
  
• Long-term opportunity to shape GenAI adoption in highly regulated, high-impact industries