Hire Talent
Hire AI / ML Engineer India - Vetted, Managed, Embedded
Senior AI / ML engineers, offshore in India, embedded as a true extension of your team - vetted in 48 hours and managed end-to-end by H4H operations.
Vetted in 48 hours · Currently available
Overview
Hire AI/ML engineers in India who ship production-ready models
Hire AI / ML engineers in India through H4H for predictive models, LLM applications, RAG pipelines, forecasting, and production ML operations. Vetted in 48 hours, managed by H4H operations, and embedded with your team via your tools and repos. Common stack includes scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, OpenAI, Anthropic, LangChain, MLflow, Weights & Biases, Prophet, Darts, and Evidently / Arize for monitoring.
- Years in business
- 12
- Team members
- 65+
- Global clients
- 30+
- Yr avg. client retention
- 4+
Years in business
Team members
Global clients
Yr avg. client retention
Why hire your AI / ML Engineer through H4H
Vetted in 48 hours
Pre-vetted senior talent on tap. Shortlist within 48 hours of brief.
Managed engagement
H4H handles employment, payroll, compliance, reviews, and operations.
Flexible models
Hourly, monthly retainer, dedicated FTE, or Micro-GCC - pick what fits.
Embedded with your team
A named hire, not a rotating pool. Your tools, your repos, your standups.
Capabilities
Skills our AI / ML Engineers deliver
-
Classical ML
scikit-learn, XGBoost, LightGBM, statsmodels - for the workloads that do not need deep learning.
-
Deep learning
PyTorch, TensorFlow - vision, language, and sequence modeling.
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MLOps
MLflow, Weights & Biases, model registry, deployment, and rollback.
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LLM application development
RAG, prompting, function calling, evaluation, and observability.
-
Forecasting
Prophet, Statsforecast, Darts - applied forecasting with feature engineering.
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Production monitoring
Drift detection, retraining schedules, and observability tied to business KPIs.
Engagement models
Hourly
Best for short, defined work - audits, proofs-of-concept, fixed deliverables.
Monthly retainer
Best for sustained work where capacity needs to flex.
Dedicated FTE
A named senior AI / ML engineer embedded with your team full-time.
Micro-GCC / EOR
Built into your offshore capability via our Micro-GCC and EOR Service.
Pricing depends on seniority, engagement model, and team size. Bands shared during discovery.
How it works
- 01 Step
Share requirement
Tell us the role, scope, stack, and ideal start date.
- 02 Step
Match
Shortlist of pre-vetted candidates within 48 hours.
- 03 Step
Interview
You interview directly. We coordinate scheduling and feedback.
- 04 Step
Onboard
The selected hire onboards into your stack with H4H operations support.
Explore more roles
Other specialists on the H4H bench
Same vetting, same engagement models. Pick a role that fits your roadmap - vetted in 48 hours, embedded with your team.
Frequently asked questions
Still have a question? Talk to a real human on our team - we usually reply within one business day.
How quickly can I onboard an AI / ML engineer?
What seniority levels do you offer?
How does pricing work?
What if the hire is not a fit?
Will the AI / ML engineer work in our time zone?
Who owns the work product?
Can I scale the team up later?
Related services
Ready to hire your AI / ML Engineer?
Share your requirement and we will return a shortlist of pre-vetted senior candidates within 48 hours.