Source AI and cloud professionals who are already trained, assessed, and job-ready. Faster hiring, lower attrition, and talent built for the way modern tech teams actually work.
Pankaj Kumar — Founder & Talent Acquisition Specialist, Technovids
LinkedIn's 2025 Emerging Jobs Report found that demand for AI and cloud roles in India grew 148% year-over-year — while qualified candidate supply grew only 31%. The result: inflated salaries, 6-month hiring cycles, and teams operating at 60% capacity.
Most staffing agencies source the same overpriced profiles from Naukri and LinkedIn. Technovids is different — we run our own training pipeline, which means we place candidates who have been hands-on with the exact tools your team uses.
148%
YoY growth in AI/cloud role demand (India)
6 months
Average enterprise time-to-hire for cloud roles
40%
Lower hiring cost with upskill-to-hire model
90 days
Replacement guarantee on all permanent placements
Three complementary models to match any hiring need — from urgent permanent roles to strategic talent pipeline development.
Permanent placement
We shortlist verified AI and cloud professionals for permanent roles. Every candidate has been technically assessed by our trainers — not just screened on keywords.
Train + place model
We identify high-potential professionals from adjacent roles, put them through our intensive AI/cloud training, and place them with you. 40–50% cheaper than hiring experienced talent.
Flexible engagement
Need cloud architects for a migration? MLOps engineers for a sprint? We supply trained contract talent on flexible 1–12 month terms, deployable within 5–7 days.
Transparent, fast, and designed around your specific hiring needs.
We understand the role, team culture, tech stack, and timeline. 30 minutes.
We help craft a realistic job description based on current market availability.
Our trainers conduct domain-specific assessments — not just HR screening.
You receive 3–5 pre-vetted profiles with technical scorecards within 10–15 days.
We support offer negotiation, notice period management, and the first 90 days.
Deep expertise in placing the technical roles that matter most for AI and cloud initiatives.
ML / AI Engineer
Mid–Senior
Data Scientist
Mid–Senior
Prompt Engineer
Junior–Mid
Cloud Architect (AWS/Azure/GCP)
Senior
DevOps / MLOps Engineer
Mid–Senior
Data Engineer
Mid–Senior
Cloud Migration Specialist
Senior
AI Product Manager
Senior
There aren't enough experienced AI engineers in India to meet current demand. The companies winning the talent war are the ones creating their own pipeline — identifying high-potential professionals and training them into the specialists they need.
Our upskill-to-hire model combines Technovids' training expertise with structured recruitment. You get candidates who are trained on your exact tech stack, pre-assessed on real tasks, and motivated to succeed in a role that was designed for them.
Candidate Identification & Assessment
We source profiles from adjacent roles (developers, analysts, admins) and run a technical aptitude + learning-ability assessment.
Intensive AI/Cloud Training
Selected candidates go through our accelerated training programme — hands-on, project-based, assessed weekly.
Capstone Project & Skills Validation
Candidates complete a role-specific capstone project. You receive a detailed technical scorecard for each.
Client Interviews & Placement
You interview shortlisted candidates. Offer, onboarding, and 90-day check-in support included.
Vikram Rao
CTO, DataSync Technologies, Hyderabad
“We'd been trying to hire ML engineers for four months. Technovids closed all six roles in under three weeks. The technical assessment was rigorous — every candidate they sent was genuinely hireable. One year on, all six are still with us.”
Sunita Agarwal
Head of Engineering, RetailAI, Pune
“We took a bet on the upskill-to-hire model and it paid off completely. The candidates knew our exact stack because Technovids trained them on it. Ramp-up was faster than any experienced hire we'd made from the market.”
Are you a developer, analyst, or IT professional who wants to transition into AI or cloud roles? Our upskill-to-hire pipeline is open to individual applicants. We train you, then place you — at no cost to you.
ML Engineer
₹12–22 LPA
Cloud Architect
₹18–35 LPA
DevOps Engineer
₹10–20 LPA
Prompt Engineer
₹8–18 LPA
Typical CTC ranges for AI/cloud roles in India, 2025
We bridge training and recruitment. Every candidate we place has been through structured AI or cloud training — not just theoretical knowledge but hands-on project experience. This means faster onboarding and lower attrition for clients.
We specialise in: ML/AI Engineers, Data Scientists, Prompt Engineers, Cloud Architects (AWS/Azure/GCP), DevOps/MLOps Engineers, Cloud Migration Specialists, and AI Product Managers. We also handle adjacent roles like Data Engineers and BI Developers.
We identify high-potential candidates from adjacent fields (software developers, data analysts, IT administrators) and put them through our intensive 4–8 week training programme. You interview pre-trained candidates — typically 40–60% cheaper than hiring experienced professionals from the market.
For direct placement, we typically present shortlisted candidates within 10–15 business days. For upskill-to-hire roles, allow 6–8 weeks from brief to placement. Contract staffing can often be arranged within 5–7 days for bench resources.
Yes. We offer a 90-day replacement guarantee for all permanent placements. If the candidate leaves within 90 days for any reason, we find a replacement at no additional fee.
We recruit PAN India with strongest networks in Bangalore, Hyderabad, Mumbai, Pune, Chennai, and Delhi NCR. We also support remote-first roles for companies open to distributed teams.
Whether you need a single ML engineer or a cloud team of 20, we can source, assess, and place the right talent — faster and more cost-effectively than any generalist recruiter.
Email: hello@technovids.com
WhatsApp: +91 98765 43210
Tell us what you need and we'll respond within one business day with a recruitment plan and timeline.
