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- Technology
2 min read
Data engineer and data scientist sound similar and are constantly confused, including by the recruiters hiring for them. But they are fundamentally different roles, and hiring the wrong one for your problem means it gets solved slowly, expensively, or not at all.
Featured blog posts
- Technology
2 min read
MLOps is the discipline of running machine-learning models in production reliably. If DevOps is what keeps your software alive, MLOps is what keeps your models alive.
- Technology
2 min read
Hiring senior AI talent in the UAE and across the Gulf is a different problem from hiring in Europe or North America. The ambition is national policy, the procurement is rigorous, and the local pool of specialists.
- Technology
2 min read
Hiring senior AI talent in the UAE and across the Gulf is a different problem from hiring in Europe or North America. The ambition is national policy, the procurement is rigorous, and the local pool of specialists.
- Technology
2 min read
Vetting a senior AI or ML engineer is harder than it looks, because the standard process produces false positives by design. The CV reads beautifully, the technical screen goes well, the references are warm.
- Technology
2 min read
A data engineer builds and operates the systems that move, store, and transform an organisation's data: the pipelines that collect it from source systems, the warehouse or lakehouse where it lives.
- Technology
2 min read
Staff augmentation and managed services both bring external capacity into your delivery, but they answer different questions. Staff augmentation extends your team: a senior specialist joins your standups.
- Technology
2 min read
Hiring a data scientist is a procurement decision dressed as a technical one. The maths is the easiest part to test and the least likely to sink the hire.
- Technology
2 min read
Staff augmentation means temporarily extending your in-house team with external specialists who report into your delivery structure and work inside your codebase, your standards, and your access environment.
- Technology
2 min read
The difference is ownership. With staff augmentation you keep ownership of the outcome and bring an external specialist into your own team; with outsourcing you hand the outcome to a vendor and buy a deliverable.
- Technology
2 min read
Hiring a data engineer means evaluating something most interview processes never touch: whether this person has kept production data systems running, and what it cost them to learn how.