Data Engineer

Skills for Success:

Proven experience in developing scalable AI solutions using frameworks like TensorFlow, PyTorch, and cloud platforms (AWS, Asure).

Proficiency in programming languages such as Python or Java, with expertise in NLP and Retrieval-Augmented Generation (RAG).

Ability to design and optimise AI solutions that can integrate across complex environments.

Strong communication skills to convey technical solutions effectively to cross-functional teams and stakeholders.

Experience in AI governance, model monitoring, and compliance practices within regulated environments.