Core workforce services

Hire dedicated AI and data talent from India

Remvix sources and places dedicated AI and data talent from India — ML engineers, data scientists, LLM specialists, and data pipeline engineers from India's top institutes and AI research teams.

Overview

A team, plus the operating system around it.

India produces some of the world's leading AI and data talent — IIT, IISc, and BITS graduates who have shipped production ML systems at Google, Microsoft, Amazon, Meta, and India's top AI unicorns. Remvix accesses this talent pool for companies building AI products, data platforms, and ML infrastructure. All hires are pre-vetted on technical depth, research ability, and production experience — not just academic credentials.

  • ML engineers, data scientists, AI researchers, and LLM specialists
  • IIT, IISc, BITS alumni and top-company trained
  • Production ML: model training, fine-tuning, deployment, monitoring
  • LLM/RAG/agent-based systems experience available
  • Data engineers: dbt, Spark, Airflow, Snowflake, BigQuery
  • Dedicated full-time, IP-assigned, fully managed
Benefits

What your business gains.

Access India's top AI talent

IIT and IISc alumni trained at Google DeepMind, OpenAI partners, and leading Indian AI labs.

Production-ready AI engineers

We screen for production ML experience — not just research papers and Kaggle scores.

Full-stack AI teams

ML engineers + data engineers + analytics engineers in a coordinated offshore pod.

LLM-era expertise

RAG, fine-tuning, agent frameworks, and LLM evaluation specialists available.

60–70% cost savings

Senior AI/ML talent in India at a fraction of US/UK market rates.

IP-protected from day one

All model weights, training code, and data pipelines are IP-assigned to your company before work begins.

Industries served

Who builds this team.

AI/ML startupsSaaS with AI featuresFintechHealthcare AIAutonomous systemsEnterprise analyticsEcommerce personalizationSecurity AI
Hiring process

From kickoff to value in weeks.

  1. 01

    Scope: ML domain, stack (PyTorch/TF/JAX), production vs research focus

  2. 02

    Active sourcing from Remvix's AI/data talent network and institute partnerships

  3. 03

    Technical screening: ML fundamentals, system design, take-home project

  4. 04

    Shortlist of 3–5 pre-qualified candidates within 7–10 days

  5. 05

    Client runs domain interviews; client makes hire decision

  6. 06

    IP, equipment, compliance, and onboarding handled by Remvix

Why Remvix

Not a vendor. Your operating partner.

Remvix is not a recruiting agency or a staffing marketplace. We build and operate dedicated offshore teams in India that work full-time and exclusively for one client. Every engagement includes enterprise-grade payroll, statutory compliance, health benefits, equipment, IP assignment, HR business partner support, and workforce management — all in one monthly invoice. You direct the work; we run the operating system around the team.

What's included
  • Payroll & tax filing
  • Statutory compliance
  • Health & wellness benefits
  • Laptops & secure devices
  • IP assignment
  • HR business partner
  • Workforce management
Engagement models

Work with us the way that fits.

Contract

Short-term engagements for projects, surge capacity, or trial-before-permanent hires.

Permanent

Dedicated full-time hires on a permanent basis — your headcount, fully managed by Remvix.

Dedicated Team

A pod of 3–10 working exclusively for your company under an embedded team lead.

Managed Service

Remvix operates the team end-to-end — hiring, performance, payroll, compliance, and reporting.

FAQ

Common questions.

Do you recruit for LLM and generative AI roles?+

Yes — RAG systems, fine-tuning pipelines, LLM evaluation, agent frameworks, and prompt engineering specialists are available.

Can you recruit for AI research roles?+

Yes, including ML research scientists with publication records from IIT, IISc, and top AI labs.

What ML frameworks are candidates proficient in?+

PyTorch, TensorFlow, JAX, Hugging Face, LangChain, LlamaIndex, scikit-learn, and XGBoost are common. We screen for your specific stack.

Do you recruit data engineers as well as data scientists?+

Yes — data engineering (dbt, Spark, Airflow, Snowflake, BigQuery, Kafka) and data science are both in scope.

Who owns the models and data pipelines?+

You do. IP assignment covers all model weights, training code, data pipelines, and research outputs.

Can AI talent work in US hours for real-time collaboration?+

Yes — we optimize for your timezone overlap. Many AI engineers prefer US morning-aligned schedules.

What's the typical background of Remvix AI hires?+

IIT/IISc/BITS graduates with production experience at Flipkart, Swiggy, Zepto, Meesho, or global AI companies like Google, Microsoft, and Amazon.

Can I hire a full AI team — not just one engineer?+

Yes — we build dedicated AI pods with ML engineers, data engineers, and analytics engineers under a tech lead.

How long does sourcing take for specialist AI roles?+

7–14 days for most AI/ML roles; 14–21 days for highly specialized research positions.

Is Remvix suitable for pre-product AI startups?+

Yes — we have placed AI talent at seed-stage through Series D companies building AI-native products.

Get started

Your next great hire is in India. We'll find them.

Talk to a Remvix specialist about your roles, timeline, and budget. Get a tailored shortlist within 7 days.