Data Science Engineer

Data Science Engineer

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.

My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy.

Key Responsibilities

• End-to-end development of AI/ML solutions.
• MLOps practices: CI/CD, model monitoring, retraining.
• Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks).
• Generative AI features: embeddings, RAG, AI agents.
• Clean, testable code with modern engineering practices.
• Align with enterprise architecture and governance.
• Collaborate with architects and stakeholders.
• Lifecycle management of models.
• Pilot emerging technologies.

Experience & Skills

• 2–4 years in production-level AI/ML delivery.
• Legal/professional services experience is a plus.
• AI/ML frameworks: PyTorch, TensorFlow, LangChain.
• Cloud: Azure (preferred), AWS, GCP.
• MLOps: CI/CD, model lifecycle, monitoring.
• Generative AI: LLMs, RAG, chat agents.
• Data engineering alignment: ETL, governance.
• Strong coding, communication, and collaboration skills.
• Strategic thinking, problem-solving, and stakeholder engagement.