Pre-vetted data engineers, ML researchers, AI architects, and RPA developers — ready to embed with your team in days. Whether you need a single specialist or a full AI pod, we source, vet, and deploy top AI talent fast.
Finding skilled AI and ML talent is one of the hardest problems in tech. Yeskay's AI Talent Staffing practice solves it — with a deep network of pre-vetted data engineers, ML researchers, AI architects, and automation specialists who can embed with your team immediately.
We're not a generic staffing agency. Every candidate in our network has been technically evaluated by our own engineers — and we only place people we'd hire ourselves. Whether you need a short-term sprint team or long-term embedded talent, we find the right fit fast.
From short-term project sprints to long-term embedded engineers — we structure the engagement around your needs.
Short-term (4–12 week) AI project pods assembled for a specific deliverable — model development, data pipeline build, or RPA implementation. Fixed scope, fixed outcome.
Individual AI/ML specialists placed as embedded team members — working alongside your engineers on a contract or contract-to-hire basis. Fully integrated, long-term capable.
A managed, dedicated AI team — data engineer, ML engineer, MLOps engineer, and project lead — fully focused on your roadmap. Same team, continuous delivery, no management overhead.
Helping startups find the right AI technical lead or co-founder — someone who can architect the system, hire the team, and scale the technology alongside the business.
Immediate coverage for critical AI/ML roles during transitions, leaves, or unexpected surges — pre-vetted talent who can contribute from week one without ramp-up time.
Custom training programs to upskill your existing engineering team on AI/ML — from introductory workshops to advanced LLM and MLOps bootcamps delivered by our practitioners.
From data infrastructure to production models — every role your AI team needs to succeed.
Model development, training pipelines, feature engineering, and production inference — end-to-end ML practitioners.
Data pipelines, ETL/ELT, warehouse architecture, and real-time streaming — the foundation every AI system depends on.
System design, platform selection, MLOps strategy, and technical leadership for complex AI programs.
Bot design, development, and deployment across UiPath, Automation Anywhere, and Power Automate platforms.
Statistical modeling, predictive analytics, experimentation design, and business-facing insight generation.
CI/CD for ML, model serving infrastructure, drift monitoring, and automated retraining systems.
How the right AI talent transformed client teams and programs.
3-person ML pod delivered a real-time credit risk scoring model in 10 weeks — from data audit to production inference API.
Two senior Data Engineers embedded for 6 months, building the org's first modern data lake — enabling 4 downstream AI projects.
Senior UiPath dev placed in 7 days to cover a critical departure — maintaining 14 production bots with zero automation downtime.
A fast, rigorous process that finds you the right person — not just the first available one.
We understand the role, your tech stack, team culture, and the specific outcomes you need — so we're looking for the right fit, not just a resume match.
Every candidate is technically assessed by our own engineers — coding challenges, system design reviews, and domain-specific evaluations relevant to your work.
We present 2–3 pre-vetted candidates with full technical scorecards. Your team interviews and selects — typically within the first week of engagement.
We stay involved through the first 30 days — ensuring the placement is working well and stepping in immediately if any issues arise.
Tell us the role, the timeline, and the tech stack. We'll have pre-vetted candidates ready for you to interview within days.