India's demand for AI/ML talent is outpacing supply. Teksands closes the gap — connecting high-growth companies, GCCs, and product unicorns with verified Machine Learning engineers, Data Scientists, MLOps specialists, and GenAI builders across pan-India.
Quality-first. No CV-padding. No wasted interviews.
What sets our AI/ML search apart
From early-stage model builders to GenAI platform architects, we recruit across the full spectrum of applied AI and machine learning — matched to your stack, team, and delivery context.
End-to-end ML pipeline builders who take models from notebooks to production systems at scale.
Analysts and modellers who translate messy real-world data into predictive insight and business value.
Infrastructure specialists who bring reliability, observability, and CI/CD discipline to AI workflows.
Builders working with large language models, RAG architectures, prompt engineering, and fine-tuning.
Deep researchers who push model architecture frontiers — NLP, Computer Vision, RL, and beyond.
Vision specialists for detection, segmentation, OCR, and video analytics in industrial and product settings.
Language specialists for information extraction, conversational AI, summarisation, and search.
Senior architects who design reusable AI infrastructure, feature stores, and model governance frameworks.
Unlike generalist recruiters who match job titles to keywords, our AI/ML screening is built around verified technical depth. Every shortlisted profile has cleared all six stages before reaching you.
Brief Us on Your RoleWe map your exact stack, team context, delivery model, and growth stage before sourcing begins — ensuring we search for the right shape of engineer, not just a matching title.
Our AI-augmented platform searches across job boards, LinkedIn, GitHub, Kaggle, research forums, and proprietary alumni networks to reach both active and passive AI/ML talent.
Structured technical interviews conducted by our specialist consultants assess fundamentals: model theory, coding ability, MLOps awareness, and stack-specific hands-on experience.
Role-specific coding and case evaluations — built around your domain (fintech, healthcare, SaaS, manufacturing) — validate practical problem-solving beyond interview answers.
We evaluate career trajectory, notice-period risk, competing offers, and genuine motivation — preventing offer drops and no-shows common in India's competitive AI talent market.
Active candidate management through notice period: counter-offer handling, expectation alignment, and early-risk signals — so joining day goes exactly as planned.
Most recruitment firms applied a generic tech hiring template to AI/ML and hoped for the best. We built a dedicated practice from scratch — with consultants who understand the difference between a model that trains and a model that deploys.
We serve IT services majors, GCCs, funded product companies, and unicorns scaling their AI teams across Bangalore, Hyderabad, Pune, Chennai, NCR, and emerging Tier-2 hubs.
vs. in-house sourcing for niche AI/ML roles
Candidates shortlisted advance to client interview stage
AI/ML and Data professionals placed across India
Active sourcing across 8 cities including Tier-2 AI talent hubs
India's AI engineering talent is concentrated in a few metros but growing fast in Tier-2 cities. Our active sourcing networks span both — giving you cost-quality flexibility in every mandate.
Tell us the roles you need to close. We'll share a sourcing plan, timeline, and first profiles — typically within 72 hours.
