Despite millions of graduates entering the workforce in India each year, over 80% of employers still report a shortage of required skills, highlighting a significant talent gap and employability mismatch. While the supply of candidates is high, job-ready talent remains scarce. Roles in AI, cloud, data engineering, and platform engineering continue to stay unfilled, not because of a lack of applicants, but due to insufficient day-one deployment readiness across modern industries.
Across IT, BFSI, manufacturing, and digital-first sectors, enterprises are reshaping how they build teams. Data shows that 85% of employers now prioritise skills-based hiring over degrees, while AI-driven recruitment tools reduce time-to-hire by up to 50% for organisations modernising talent acquisition.
However, the most strategic shift is happening earlier in the talent pipeline. Major enterprises are increasingly adopting train-and-hire models for freshers, moving away from the assumption that campuses consistently produce job-ready talent.
Instead, enterprises partner with Hire Train Deploy providers like Mazenet to train candidates on specific technology stacks before deploying them into live projects. This gives organisations better control over hiring quality, speed, and cost.
Structured train-and-hire programsalso help reduce first-year attrition, accelerate productivity, and improve cultural fit compared to lateral hiring in the open market.
India’s hiring demand is rapidly outpacing the available talent pool. In 2026, leading enterprises are addressing this skill gap by building deployment-ready talent through Train-and-Hire partners like Mazenet Solution.
With over 25 years of workforce transformation expertise, a talent network of 4.5 lakh+ professionals, and 2,500+ SMEs, Mazenet helps enterprises move beyond reactive hiring toward outcome-driven talent creation. Backed by rapid deployment capabilities, Mazenet enables organizations to build future-ready workforces with greater speed, scalability, and measurable business impact.
At Mazenet, we understand enterprise technology needs, delivery expectations, and workforce goals before sourcing industry-ready talent.
Top train-and-hire firms assess aptitude and learning agility, then train candidates on tools and workflows, expanding the talent pool beyond traditional screening methods used.
Mazenet’s train-and-hire programmes use LMS-based assessment engines to evaluate candidates across multiple learning modules, ensuring that only deployment-ready professionals meet the required hiring benchmarks.
Beyond traditional staffing, HTD providers like Mazenet enable post-deployment performance tracking, ensuring measurable enterprise ROI and sustained value delivery.
Rapid GCC expansion in India continues to accelerate. India’s GCC workforce has reached 2.4 million professionals in 2026, with GCCs expected to generate 4.25–4.50 lakh new jobs this fiscal year alone. However, a 53% AI skills gap persists, meaning that for every two specialised roles, fewer than one qualified candidate is available. Train-and-hire models for GCC centres are emerging as a leading response, with Mazenet among India’s most experienced train-and-hire partners for GCC hiring.
Across IT services, BFSI, manufacturing, retail, and e-commerce, Mazenet’s Train and Hire model effectively bridges critical skill gaps where traditional hiring falls short.
Build the team you need, not just the talent available.
From GCC, IT, BFSI, manufacturing, and other sectors, Mazenet delivers enterprise training and
hiring solutions that create scalable, job-ready talent pipelines ensuring speed, quality, and
precise role alignment.
The Train and Hire model sources candidates, trains them on specific technology stacks, and deploys them into live enterprise projects, ensuring job-ready talent with faster onboarding, reduced attrition, and better role alignment.
Traditional hiring fails to deliver job-ready talent. HTD models reduce time-to-hire by 50%, lower first-year attrition, improve cultural fit, and give enterprises complete control over quality, cost, and team-building speed.
Mazenet maps enterprise requirements, sources candidates, delivers role-aligned training via its LMS platform Edzentra, conducts modular assessments, and deploys professionals with ongoing post-deployment performance tracking for measurable ROI.
AI/ML, MLOps, cloud, data engineering, and platform engineering roles face a 53% skills gap in GCCs. Structured train-and-hire pipelines are the most effective solution to bridge these critical shortages.
They assess learning agility over credentials, train candidates on industry tools, and deploy job-ready professionals, addressing the core issue that over 80% of Indian employers face: insufficient day-one deployment readiness.
.webp)
