Data, AI & Machine Learning
Research, applied ML, data engineering and AI product work are treated as one talent pool and priced as one. They are not. Knowing which market a role actually sits in is the difference between a fast hire and a stalled one.
Positioning
AI talent is not one market.
Difficult hiring problems need more context, not more CVs.
The demand spike has flattened distinct disciplines into a single buzzword. A research scientist, an ML engineer, a data engineer and an applied-AI product engineer share a vocabulary and almost nothing else — different skills, different motivations, different compensation logic.
Titles have stopped describing the work. Two "Machine Learning Engineers" can be doing fundamentally different jobs, and the person who fits your problem may hold a different title entirely.
We work out which market your role belongs to before we search — because sourcing the wrong sub-market is the most common reason these hires drag for months.
Roles we recruit
A representative sample, not a fixed menu. If your role sits between these, that is usually a sign it needs a context-led search.
Data & platform
ML & applied AI
Common hiring challenges
The failure modes are predictable once you have run enough of these. Naming them is the first step to avoiding them.
Job titles no longer map to the work. Hiring on the title sources the wrong people confidently.
Compensation and expectations move faster than reality. Calibrating what a role truly needs prevents costly mis-hires.
A brilliant researcher may not ship, and a strong shipper may not push the frontier. Confusing the two is expensive.
The genuinely qualified pool for a specific problem is small and heavily pursued. Generic outreach does not land.
Our search approach
A specialist process built around understanding before outreach — the same principles applied to the specifics of this market.
We first establish whether you need research depth, production ML, data foundations or applied-AI product sense — and calibrate the search to that reality.
We separate people who can build and ship in your context from people whose strength lies elsewhere, before profiles reach you.
In a thin, contested market, the conversation has to be specific and honest. We reach passive specialists with a pitch that respects their time.
Beyond the CV
The résumé gets a candidate into the conversation. These are the signals that decide whether they reach your shortlist.
Whether they can turn an ambiguous business need into a tractable data or model problem.
An honest read on where they sit between research and production reality.
Whether their experience matches the data and infrastructure maturity you actually have.
Whether they pursue modelling for its own sake or for the outcome it drives.
Related expertise
Critical hires rarely sit in one discipline. These are the areas that most often overlap with this one.
Software & Product Engineering
Backend, frontend, mobile and full-stack engineers who ship product.
View expertiseCloud, DevOps & Platform Engineering
Platform, SRE and infrastructure engineers building for scale.
View expertiseTechnology Leadership & Executive Search
Confidential search for CTO, VP and director-level leaders.
View expertiseRelated insights
India’s AI hiring market is expanding quickly, but the strongest searches are increasingly about production ownership, systems depth and evidence of shipped work — not simply AI keywords.
Read the full insightIndia’s hiring market is growing, but critical technology searches still depend on a narrow pool of experienced people with the right combination of technical depth, context and leadership judgement.
Read the full insightA strong technology search begins by defining the business and technical problem the hire must solve. The job title comes later.
Read the full insightQuestions
Yes — that is often the most valuable part of the engagement. We help distinguish research, applied ML, data engineering and AI product roles before committing to a search.
We do. Many teams need strong data engineering before advanced modelling is even viable, and we calibrate to where you genuinely are.
We ground expectations in the specific sub-market your role sits in, rather than headline numbers, so offers are competitive without being distorted by hype.
Start here
That is exactly the conversation to start with. Tell us the problem and we will help you define the role before the search.
