Your ML roles keep
getting reposted.
The right engineers
aren't on job boards.
40+ open reqs. A 600-person passive talent pool. And a sourcing approach that only reaches the 100 who are already applying. YALLO sources from inside the engineering teams — and delivers architect-vetted profiles in 72 hours.
We've mapped your hiring challenge.
Role by role.
"The ML Scientist II (Search) role has been reposted twice. 100+ applicants, not one worth a second call."
When a Search/NLP ML role with production-scale requirements gets 100 applicants and none convert — it's a sourcing angle problem, not a volume problem. The practitioners who've actually built dense retrieval and query understanding at e-commerce scale are inside product engineering teams. They don't apply to JDs.
"The AI Platform SWE III req needs a GCP/K8s ML platform architect. 14 weeks. Still nothing that clears the bar."
Post-GCP-migration AI Platform architects are a rare subset of an already thin market — and every major retail GCC in Bengaluru is competing for the same pool simultaneously. Generic sourcing reaches the same 70 active applicants. Passive sourcing reaches the 600.
"Our TA team is running 40+ reqs simultaneously. The ML and Platform cluster keeps slipping to the back of the queue."
Standard GCC recruiter load is 15–20 reqs. At 40+, the specialist roles — ML Science, AI Platform, senior CyberSec — each need fundamentally different sourcing networks. Running them through the same pipeline means the hardest ones always stall longest.
architect-vetted shortlist
You see 2 profiles, both ready.
We stand behind every placement.
Not a recruiter.
An architect who finds the right people.
Wayfair TDC is building something significant — a global-capability centre that ships AI products used by millions. That deserves a hiring partner who understands what you're building, not one matching keywords on a JD.
Strategy and execution — not staffing
YALLO was founded by Sumeet Goenka — former Group Chief Architect at Richemont (€20B) and Chief Enterprise Architect at Landmark Group ($6B). We've built tech teams at enterprise scale from the inside. We understand your hiring bar because we've held it ourselves.
72-hour delivery — because your roadmap can't wait
While standard Bengaluru ML hiring takes 14–20 weeks, YALLO delivers architect-vetted profiles in 72 hours. We maintain a live Bengaluru network of ML Scientists, AI Platform engineers, SRE specialists, and Data Architects — pre-screened, not cold-called on brief day.
2:1 ratio — not 20:1
You see 2 profiles maximum — both fully vetted for your tech stack, your domain, and your hiring panel's bar. No screening 20 generic CVs. No wasted interview rounds. Every profile we submit has been through a structured technical conversation before it reaches you.
We brief to your stack — not a generic spec
Your AI Platform engineer needs to understand GCP Vertex AI Pipelines, K8s operators, and Airflow orchestration in an ML platform context. Your ML Scientist needs production search experience, not just academic NLP. We brief and screen to that level of specificity.
We reach the 600 — not the 100 already applying
The true ML specialist pool in Bengaluru is approximately 600 people — most happily employed inside product engineering teams. They're not browsing Naukri or LinkedIn. They engage when someone credible puts a genuinely interesting problem in front of them. That's how YALLO sources.
100% satisfaction — we stand behind every placement
If a placed engineer doesn't work out within the agreed period, YALLO replaces them at no additional cost. We back every placement because our 2:1 ratio means we only submit candidates we're genuinely confident in. Your programme delivery is protected — not just your vacancy count.
Four steps. One standard.
30 minutes. We understand the role, the hiring manager's bar, and what previous shortlists missed — not just the JD.
We assess passive candidates from our Bengaluru network — technically, not against keywords. Every profile gets a structured technical conversation.
2 profiles arrive with a one-page technical assessment each — not just a CV. You interview, not screen.
We manage the process through to offer and start — including notice-period candidate management to reduce offer dropout.
How we've delivered for enterprise programmes across the GCC.
Three mandates. Three different challenges. The same model — architect-vetted specialists, deployed in weeks, not months.
Alshaya needed to rapidly scale their Azure data platform team. Traditional hiring was taking 10–12 weeks. Programme milestones were at risk with no fast path to specialist talent in the regional market.
Within 72 hours of brief, architect-vetted Azure data engineers were in pipeline — matched to programme context, not a generic cloud spec.
- Dedicated team of Azure data engineers matched to programme context
- Enterprise architecture oversight throughout deployment
- Engineers contributing from day one — minimal onboarding lag
- Flexible team scaling to match programme milestones
Wipro needed niche SAP talent — CAR, GRC, SAC — for Al Tayer Group's S/4HANA transformation. The UAE market couldn't provide specialists fast enough. Programme delivery was at risk with a fixed go-live date.
Sourced from India, deployed to UAE in 2 weeks:
- 8 SAP S/4HANA specialists rapidly deployed from our India network
- All resources met technical and client engagement standards
- Quality-managed through regular coordination with Wipro programme leads
- Continuous feedback loops maintained for team effectiveness
Chalhoub Group needed experienced Supply Chain Architects and Business Analysts urgently. Niche skill requirements and market conditions made hiring challenging.
UK + UAE hybrid delivery in weeks:
- Identified and deployed experienced supply chain architects within weeks of brief
- Leveraged hybrid delivery model — UK remote + UAE onsite
- Ensured strong alignment with technical, domain, and cultural expectations
- Streamlined handover process to minimise disruption to live programme
Your first call is with the YALLO team.
Sumeet's expertise is built into every brief.
The initial discovery session is with the YALLO team — a focused 30-minute conversation about your specific open reqs. We don't bring the CEO to every first call. But Sumeet's architectural standards shape how every brief is written, how every candidate is screened, and how every shortlist is built.
— Sumeet Goenka, Founder & CEO, YALLO
As a Gartner Peer Community Ambassador and former Group Chief Architect at Richemont (€20B), Sumeet brings genuine peer-level credibility to the engineering leadership conversations that matter most — when a hiring manager needs to calibrate on a highly specific technical bar, or when a programme leader needs to understand whether a sourcing approach is realistic.
30 minutes. No pitch.
Just a conversation about your roles.
Tell us which roles are stalling and why. We'll share what the passive candidate landscape actually looks like for that profile — and whether YALLO can reach it.
Book a session with the YALLO team
30 min · Video call · IST · GMT · GST all available
Things your TA team usually asks us.
PSL agencies work through keyword matching at scale — fine for volume SDE and backend roles. For ML Scientist II with Search/NLP experience, or an AI Platform Architect who's built on GCP Vertex AI, they're reaching the same 100 active applicants you've already seen. YALLO covers what PSL sourcing can't reach: the passive layer inside product engineering teams. We don't compete with your PSL — we extend it into the specialist clusters it isn't built for.
Because we're not starting a search on the day you brief us — we've spent years building relationships with senior ML practitioners across Bengaluru's product engineering ecosystem. The brief tells us which candidates in our existing network fit your specific bar. We select from a pre-screened pool, not cold-reach a fresh list. 72 hours is from brief to shortlist delivery — not from starting a search.
Yes — we offer an embedded pod model designed for GCCs running 30+ concurrent reqs. Dedicated YALLO sourcers (embedded, not shared) cover your ML/AI Science cluster under a retained arrangement, freeing your internal TA team from the specialist sourcing burden. We can scope this based on your current req list in the initial session.
Before any profile reaches you, Sumeet or a YALLO technical reviewer conducts a structured conversation with the candidate — specific to the stack and system design challenges your role involves. For ML Platform, that means Vertex AI Pipelines, K8s operator patterns, and MLOps tooling. For ML Scientist (Search), that means retrieval architecture, embedding models, and query understanding at e-commerce scale. You receive a one-page technical assessment alongside each profile.
We account for India notice periods from the day an offer is accepted. Our candidate management includes structured check-ins between offer and start date — and we brief candidates explicitly on counter-offer scenarios. The most common cause of offer dropout in Bengaluru GCC hiring is an unmanaged notice period. We treat it as part of the placement, not an afterthought.
Based on your current open req set, YALLO is strongest on: ML Scientist II (Search / NLP / GenAI), AI Platform SWE III (GCP / K8s / Airflow), Senior Manager ML Notifications Science, Associate Director Data Platform, Senior Engineering Manager Platforms, SWE III SRE, and Senior Cyber Security Engineer. The discovery session will identify exactly where our network is deepest against your most urgent reqs.
Yes — and we've done it alongside Wipro, TCS, and other large delivery partners. YALLO is additive specialist capacity, not a replacement for your existing sourcing infrastructure. We typically work on the cluster of roles that existing arrangements consistently fail to fill — the specialist reqs that sit open longest. No conflict, no overlap, no vendor politics.
Yes. The first 30-minute conversation is a working session — we share the passive candidate landscape for your most urgent roles and you decide whether what we surface is worth pursuing. No paperwork is signed before that. If the profiles we can reach don't match what you need, you've lost 30 minutes and nothing else.
Your ML and Platform team
deserves a specialist partner.
Not more applicants to screen. Not another agency sending the same pool. A partner who understands your tech stack, your programme, and the specific sourcing challenge that's kept your hardest roles open longest.
No deck. No pitch. Just a conversation about your situation.
Let’s deploy your next AI & ML contract specialist.
Fill out the form and a dedicated talent expert will get back to you within 72 hours with a clear answer on whether we can support and on what timeline.
- Save weeks of sourcing time on hard-to-fill AI, ML, and platform roles
- Access pre-vetted specialists with Bengaluru market experience across AI, data, and engineering hiring
- Fill critical hiring gaps faster with contract talent deployed in 72 hours
- No commitment required just a 15-minute conversation
