Data & AI

AI/ML Engineer

Take practical AI use cases from data assessment and evaluation into reliable production workflows.

What you will do

Own meaningful parts of client and product delivery.
Collaborate across design, engineering, and operations.
Review work, document decisions, and improve team practices.

What you bring

Strong fundamentals in your discipline.
Clear written and verbal communication.
A portfolio, GitHub profile, or examples of relevant work.
A practical approach to quality and continuous learning.