Hire data and AI professionals, screened by people who deliver data and AI projects
SANMIT delivers Data & AI projects itself, so our screening is run by practitioners. That is the difference between hiring a data scientist who can build a notebook and one who can put a model into production.
Which Data & AI roles does SANMIT hire for?
| Area | Roles |
|---|---|
| Data engineering | Azure, AWS and GCP data engineers; Databricks, Snowflake and ETL developers |
| Analytics & BI | Power BI, Tableau and Qlik developers; BI and data analysts |
| Data science & ML | Data scientists, ML engineers, MLOps engineers |
| Generative AI | GenAI / LLM engineers, RAG and agent developers, AI solution architects |
| Data governance | Data governance, MDM and data quality specialists |
How do we assess Data & AI candidates?
Portfolio review
Real projects, production deployments and measurable outcomes.
Technical interview
Scenario-based problems set by our delivery practitioners.
Practical exercise
Optional take-home or live exercise for senior roles.
Fit & communication
Stakeholder communication and ways of working.
Frequently asked questions
Can you hire GenAI engineers who have shipped production applications?
Yes. We screen for deployed work, including retrieval-augmented generation (RAG), evaluation and monitoring, not just prototypes.
Who conducts the technical screening?
Practitioners from our Data & AI delivery practice, who assess candidates on real-world scenarios.
Can SANMIT deliver the whole project instead of supplying individuals?
Yes. See our Data & AI Solutions services for end-to-end delivery.
Building a data or AI team?
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