Talent Radar · May 2026 — GCC hiring slows in BFSI, AI roles up 14%.

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For the skills you can't buy, build them.

Some skills are too new or too scarce to hire at the volume your roadmap needs. So we build them. We hire for aptitude, train against your real stack and your standards, and deploy people onto your bench who are productive from week one. The same intelligence behind 4,000 senior placements tells us where the aptitude actually is.

Start a Mandate See our impact
Trained on your stack
Retained at 12 months post-deploy
94%
Convert to permanent headcount
85%
The Problem

You can't hire your way out of a skills shortage.

When a skill is genuinely scarce, every GCC in your city is chasing the same few hundred people. Comp inflates, offers get declined, and the roles you do fill churn within a year because someone else paid more. The roadmap waits on talent that the market simply doesn't hold in the numbers you need.

Training your way there sounds right until you try it. A generic bootcamp produces people who know a language, not your codebase, your tooling, or how your teams actually ship. They land on the bench and the ramp takes months you didn't budget for.

Hire-Train-Deploy closes that gap. We find people with the aptitude to learn fast, train them against your real environment, and hand you talent that's ready to contribute, not ready to start learning.

The fastest way to fill a role nobody can hire for is to build the person against the exact stack they'll work on, before they ever reach your bench.
How Hire-Train-Deploy actually works
Our Approach

Hire for aptitude. Train on your stack. Deploy ready.

Three stages, run as one programme. We select on the ability to learn, train against your real environment, and stand behind the people we place onto your bench.

01 · Hire
Selected for the ability to learn
We screen for aptitude and trajectory, the ability to learn fast on top of a solid foundation, using the market intelligence that tells us where those people actually are. Better raw material makes everything downstream work.
02 · Train
Against your real environment
The curriculum is built around your stack, your tooling, and your engineering standards, with project work that mirrors what your teams actually ship. People learn the job they'll do, so the ramp happens before deployment, not after.
03 · Deploy
Onto your bench, productive early
People join your teams ready to contribute, often inside the first week, with a structured handover and support through the first 90 days. You convert to permanent headcount once they've proven out on real work.
A Typical Engagement

How a cohort goes from hire to bench.

Four phases. Most cohorts run 10 to 14 weeks from selection to deployment, with people productive on real work shortly after they land.

Phase 01
Weeks 1–2
Define & select
We agree the target skill profile and cohort size, then screen for aptitude against it. You see the selected cohort and sign off before training starts.
Phase 02
Weeks 2–10
Train on your stack
The cohort works through a curriculum built around your environment, with project work that mirrors your real delivery. Your leads can review progress and shape the bar as it runs.
Phase 03
Weeks 10–14
Deploy to the bench
People join your teams and start on real work, with a structured handover so the ramp is short. We stay close through the first weeks to make sure the fit holds.
Phase 04
Month 3+
Convert & retain
Once people have proven out on live work, you convert them to permanent headcount. We track retention and run the next cohort against what the last one taught us.
What This Changes

The numbers that move.

Aggregates across Hire-Train-Deploy cohorts, 2024–2025. Not promises, what tends to happen when people are trained against the stack they'll actually work on.

94%
Of deployed talent still in role at twelve months
12-month retention on placed talent
85%
Of cohort converts to permanent headcount post-deploy
Post-offer conversion to permanent
34 days
Median to a productive specialist hire
Median specialist fill
Client Outcome

When the talent didn't exist, so we built it.

See all case studies
Case Study · AI & Data GCC · Bengaluru
Mandate
Hire-Train-Deploy · ML engineering cohort

"We had 30 ML roles open and a market that held maybe a dozen people we'd actually hire. Recruise built us a cohort trained on our exact stack. They shipped real work in their second week, and we kept almost all of them."

DIR
Director, Engineering
Global AI & Data GCC · Bengaluru
94%
Retained at 12 months
85%
Converted to permanent
Read the full case study
Other Services

If this is part of a bigger build.

Building talent works best when the roles around it are solid and the comp is set by data. Most cohorts sit alongside one of these.

Managed Services
Recruitment Process Outsourcing
When you need steady volume hiring to one bar, an embedded team that owns the funnel and reports into your leaders.
Explore RPO
Managed Services
Dedicated Offshore Dev Centres
When the build is bigger than a cohort, a dedicated engineering team under your brand and management, without the entity overhead.
Explore Dev Centres
Intelligence & Advisory
Compensation Benchmarking
Before you set the band for a scarce skill, know what the market actually pays and whether your offer will hold the people you train.
Explore Benchmarking
Placement
Build Brands That Win Talent
When the people you train have options, an employer brand that gives senior and specialist talent a reason to stay.
Explore Employer Branding
Read the Thinking

Intelligence on scarce skills.

The reports, newsletters, and conversations behind how we build talent that lasts. All free to read.

Report
The skills India's GCCs can't hire fast enough
Where demand outruns supply by city and sector, and what it costs to chase talent that doesn't exist in the numbers you need.
Read the Talent Radar
The Signal
Why buying scarce skills keeps getting more expensive
A weekly read on the talent market, the skills getting harder to hire across India's GCCs, and what teams are doing instead.
Subscribe to The Signal
The Builder's Brief
"We stopped hiring for the skill and started building it"
A GCC engineering leader on the call to train against their own stack, and what it did to retention.
Listen to the episode
Frequently Asked

Questions we get asked.

If you don't see what you're looking for, the form below is the fastest route. Most enquiries get a response within one working day.

How is this different from a training bootcamp?
A bootcamp teaches a general skill and hands you graduates who still have to learn your environment from scratch. Hire-Train-Deploy trains people against your actual stack, tooling, and standards, so the ramp happens before they reach your bench. You get people ready to contribute, with the option to convert them to your headcount once they've proven out.
What skills does this work for?
It works best for skills that are scarce in the open market but learnable by people with the right foundation, engineering specialisms, data and ML, cloud, and emerging tooling where demand outruns supply. We scope the target profile with you and confirm there's enough aptitude in the market to build the cohort before we commit.
Who employs the people during training?
We do, through the hire and train phases. People sit with Recruise while they learn, then deploy onto your bench. You convert them to permanent headcount once they've proven out on real work, so you carry the risk of the ramp only after you've seen the output.
How do you keep the training relevant to us?
The curriculum is built around your stack and your delivery standards, and your leads can review progress and shape the bar as the cohort runs. Project work mirrors what your teams actually ship, so what people learn maps directly onto the work they'll do.
What if a trained person doesn't work out on the bench?
You convert to permanent headcount only after people have proven out on live work, so you're not committing to someone who hasn't shown the output. Where a deployment doesn't hold inside the agreed period, we replace from the next cohort. The point of the model is shared accountability for the people who land.
What's the minimum cohort size and lead time?
Cohorts run most efficiently from a handful of people upward, and a typical run is 10 to 14 weeks from selection to deployment. We confirm size, timeline, and the realistic supply of aptitude at scoping, so you know what's buildable before you commit, not after.
Start a Conversation

Tell us about the skill you can't hire for.

Give us the skill, the volume, and the timeline. We'll come back with a read on whether the aptitude is there to build it, even if we don't end up running the cohort.

Tell us about the skill gap.
We'll only use this to come back to you. Privacy · DPDP
Thanks, we'll come back within one working day with a read on whether the cohort is buildable, regardless of fit.