AI and ML talent in India is genuinely scarce at the senior level. The profiles that can build production-grade machine learning systems are not on job boards waiting to hear from you. They are employed, well-paid, and fielding multiple approaches every week. Getting to them requires networks, not advertisements. XMS has been building those networks since 2015.
From early-stage AI startups building their first ML team to large platforms scaling their AI capability, we cover the full spectrum of roles that build and run AI systems.
ML engineers who can take models from research into production. Experience with training pipelines, model deployment, and the engineering discipline to build systems that actually work at scale.
Data scientists who combine statistical rigour with business understanding. Profiles who have worked on real product problems, not just academic datasets.
Applied researchers in NLP, computer vision, reinforcement learning, and generative AI. Profiles with published work or demonstrable research contributions from strong institutions.
MLOps and AI infrastructure engineers who build the pipelines, monitoring systems, and deployment infrastructure that keep ML models running reliably in production.
Data engineers building the pipelines and infrastructure that feed ML systems. Profiles comfortable with large-scale data processing, real-time streaming, and data quality at scale.
Product managers who understand AI and ML well enough to set meaningful roadmaps, manage research teams, and translate business problems into tractable ML problems.
Computer vision specialists for medical imaging, autonomous systems, quality control, and visual AI applications. One of the most specialised profiles in the market.
NLP engineers and generative AI specialists building large language model applications, conversational AI systems, and text-based AI products.
Head of AI, VP Data Science, Chief AI Officer, and research director searches for companies building serious AI capability in India.
The India market has many data analysts calling themselves data scientists and many data scientists calling themselves ML engineers. We know the difference and we screen for genuine capability, not just the right job title on a CV.
Senior AI talent in India concentrates in a relatively small community. We have built relationships in that community over ten years and we can reach profiles that are not responding to job postings.
Beyond technical hiring, we also provide AI data collection and annotation workforce for companies building training datasets. Annotators, speech collectors, and quality reviewers onboarded under EOR with full compliance.
US and UK AI companies building India engineering teams without a local entity use our Employer of Record service. One partner for sourcing, employment, payroll, and compliance.
Senior AI roles take longer to close than standard engineering roles. We set honest timelines at the start and do not overpromise. Most senior ML roles close in 4 to 6 weeks. We do not pretend otherwise.
AI companies building competitive capability often need to hire without announcing what they are building. We have managed stealth hiring for AI companies with zero public footprint throughout the engagement.
We understand the technical requirements, the problem the hire will work on, the team context, and what strong looks like. Vague briefs produce vague results.
We reach out directly to relevant profiles from our networks. Senior AI talent does not apply to job postings. They respond to targeted, credible outreach from people they have heard of.
We verify publication records, project depth, and technical contribution before presenting anyone. You do not see candidates who have inflated their AI experience.
We manage offer negotiation and stay involved through the joining date. Senior AI candidates often have competing offers and we manage that risk proactively.
A US-based AI company in stealth mode engaged XMS as their exclusive end-to-end recruitment and payroll partner. The mandate spanned every function from board level to operations teams including AI engineering, data collection, annotation, and support staff. XMS placed 600 people in India and 40 in the US, with all 700 under payroll within 6 months, full statutory compliance throughout, and zero public footprint maintained for the entire period.
Tell us what you are hiring for. We will give you an honest view of what is achievable, how quickly, and at what cost. No obligation, same day response.