Senior Data Scientist
Senior Data Scientist – GenAI / RAG
We are looking for an experienced Senior Data Scientist with strong expertise in Generative AI (GenAI) to join an enterprise-level project.
The ideal candidate will combine strong technical skills with the ability to engage directly with enterprise clients, understand business requirements, and translate them into scalable AI-driven solutions.
Key Responsibilities
- Design, develop, and integrate AI/ML models using Python.
- Design and implement GenAI and RAG solutions.
- Work with LLMs, vector databases, embedding models and orchestration frameworks.
- Develop data pipelines using Spark and Databricks.
- Implement MLOps practices, including versioning, CI/CD and production monitoring.
- Engage with enterprise stakeholders and translate business needs into technical solutions.
Required Skills
- Strong Python experience in AI/ML development.
- SQL,
Apache Spark and Databricks.
- AWS and/or Azure.
- MLOps: versioning, CI/CD and monitoring.
- Hands-on experience with RAG architectures and LLM-based applications.
- Vector stores: FAISS, Chroma or Pinecone.
- Embedding models and LangChain and/or LlamaIndex.
- Strong communication and client-facing skills.
Nice to Have
- Financial Services Industry (FSI) experience.
- Document Q&A; solutions involving contracts, regulations and financial reports.
Engagement Details
- Freelance / Contractor (Partita IVA), T&M.;
- Bologna, Italy – occasional on-site presence.
- Immediate availability preferred.
Interested? Please get in touch or share your CV.
We are looking for an experienced Senior Data Scientist with strong expertise in Generative AI (GenAI) to join an enterprise-level project.
The ideal candidate will combine strong technical skills with the ability to engage directly with enterprise clients, understand business requirements, and translate them into scalable AI-driven solutions.
Key Responsibilities
- Design, develop, and integrate AI/ML models using Python.
- Design and implement GenAI and RAG solutions.
- Work with LLMs, vector databases, embedding models and orchestration frameworks.
- Develop data pipelines using Spark and Databricks.
- Implement MLOps practices, including versioning, CI/CD and production monitoring.
- Engage with enterprise stakeholders and translate business needs into technical solutions.
Required Skills
- Strong Python experience in AI/ML development.
- SQL,
Apache Spark and Databricks.
- AWS and/or Azure.
- MLOps: versioning, CI/CD and monitoring.
- Hands-on experience with RAG architectures and LLM-based applications.
- Vector stores: FAISS, Chroma or Pinecone.
- Embedding models and LangChain and/or LlamaIndex.
- Strong communication and client-facing skills.
Nice to Have
- Financial Services Industry (FSI) experience.
- Document Q&A; solutions involving contracts, regulations and financial reports.
Engagement Details
- Freelance / Contractor (Partita IVA), T&M.;
- Bologna, Italy – occasional on-site presence.
- Immediate availability preferred.
Interested? Please get in touch or share your CV.