Data Scientist

At Madiff, we design and deliver advanced AI solutions for top US enterprises, building large‑scale commercial systems powered by Generative AI and LLMs. Our teams in Poland, Portugal, France, and the UK collaborate with global consulting firms and Fortune 500 clients across banking, telecom, and high‑tech industries.

We are expanding our Data Science practice to strengthen our capability in developing and deploying production‑grade AI systems. This role focuses on creating LLM‑based architectures, optimising data pipelines, and applying advanced NLP, RAG, and predictive analytics in enterprise environments.

You will work at the intersection of data science and AI engineering — designing intelligent systems, orchestrating models with Lang Chain and Lang Graph, and supporting the industrialisation of GenAI solutions across complex business platforms.

• Design, fine‑tune, and optimise LLMs and GenAI pipelines using Python, PyTorch, Tensor Flow, MLflow, Lang Chain, and Lang Graph
• Build and scale RAG systems, embeddings, and vector‑based retrieval (Pinecone, FAISS, Chroma)
• Develop and deploy predictive models for classification and forecasting within CI/CD environments using Docker and MLflow
• Integrate LLMs with APIs and business systems to deliver automation and decision intelligence at scale
• Implement AI governance frameworks including model monitoring, compliance, and explainability
• Lead internal adoption workshops, mentor junior team members, and drive delivery excellence

• 3–4+ years of experience as a Data Scientist with practical exposure to Generative AI and LLM systems
• Advanced Python programming with strong knowledge of PyTorch, Tensor Flow, Scikit‑learn, Pandas, and Num Py
• Proven experience with Lang Chain, Lang Graph, or similar orchestration frameworks
• Understanding of RAG architectures, embeddings, and vector databases (Pinecone, FAISS, Weaviate, Milvus)
• Familiarity with cloud platforms (Azure, Databricks, AWS) and MLOps tools (MLflow, Docker, CI/CD)
• Solid foundation in predictive modelling, NLP, and statistical analysis
• Fluent English (spoken and written)

• Experience with Dataiku, Apache Spark, or Streamlit for experimentation and visualisation
• Domain background in financial services, healthcare, or enterprise SaaS
• MSc or PhD in Data Science, AI, or related field
• Fully remote collaboration model