Expertise / Talent sourcing and placement

AI Applications

Find AI engineers, machine learning specialists and data scientists to develop, integrate and evaluate AI applications within your team.

Common hiring needs

01
Applied AI product work
Add technical capacity to prototype, integrate, test, or operate AI-enabled product features and internal tools.
02
Machine-learning engineering
Find people for model development, feature pipelines, deployment, monitoring, and collaboration with data or software teams.
03
Evaluation and responsible use
Strengthen testing, human oversight, documentation, data stewardship, and risk-aware implementation practices.

Intermediate: Contributors able to prepare data, implement defined models or AI features, evaluate behaviour, and integrate with existing systems.
Senior: Experienced people for model and application design, evaluation strategy, production constraints, and complex data or integration work.
Lead: Technical leaders who can guide solution choices, responsible-use boundaries, platform decisions, and cross-functional delivery.

ITCAD considers what the application needs to do, the data available, its stage of development and the level of human oversight required.

We distinguish research, data science, software engineering and operations experience so the search fits the work your team needs to do.

Tell us which role you need to fill, the main skills, your preferred start date and the working arrangements.