Greatex Services
Pre-VettedRemote-Ready72-Hour ShortlistAI Companies Globally

Hire AI/ML Engineers & Data Scientists — Remote

Hire senior AI/ML engineers from India at $45-65/hr. Python, LangChain, RAG, LLM fine-tuning, TensorFlow, MLOps. 72-hour shortlist for US, UK, and Australian AI companies.

Get a Free Shortlist in 72 Hours

Why Companies Trust Greatex

Speed

Shortlisted candidates within 72 hours. No waiting weeks for CVs.

Cost

Save 50-70% vs local hiring. All developers are mid-to-senior level.

Quality

Technical screening, coding tests, and communication checks before you see a profile.

Flexibility

Contract, full-time, or project-based. Scale with zero overhead.

Tech Stack

PythonTensorFlowPyTorchScikit-learnLangChainRAG PipelinesLLM Fine-tuningGenerative AIHugging FaceOpenAI APICrewAIVector DBsMLOpsFastAPIAWS SageMakerAzure MLPandasNumPyRLHFNLP

Transparent Rates

RoleExperienceGreatex RateLocal MarketYou Save
ML Engineer3-5 yrs$45-55/hr$120-160/hr~65%
Senior ML Engineer5-8 yrs$55-65/hr$160-200/hr~67%
AI/ML Lead8+ yrs$65-80/hr$200-250/hr~70%

All-inclusive rates. No recruiter fees, no placement charges, no surprises.

How It Works

01

Share Requirement

Email your JD or describe what you need. Takes 5 minutes.

02

Shortlist in 72hrs

We match from our pre-vetted pool and send 2-3 profiles.

03

Interview

Talk to candidates directly. You decide who fits.

04

Onboard

Developer starts within days. We handle contracts and billing.

Frequently Asked Questions

How much does it cost to hire an AI/ML engineer remotely?

Greatex AI/ML engineers cost $45-80/hr, compared to $120-250/hr in the US or UK. Clients save 60-70% on AI talent.

Do your ML engineers have LLM and Generative AI experience?

Yes. Our AI engineers have hands-on experience with LLM fine-tuning, RAG, LangChain, vector databases, and prompt engineering for production AI systems.

Can your AI developers do RLHF and model evaluation?

Yes. Several engineers have experience in RLHF, preference ranking, code evaluation, and structured AI feedback tasks for AI labs and platforms.

How quickly can you shortlist an AI/ML engineer?

2-3 pre-vetted AI/ML profiles within 72 hours. Our pool includes data scientists, ML engineers, and Generative AI specialists.

What MLOps tools do your engineers know?

MLflow, Airflow, Kubeflow, AWS SageMaker, Azure ML, and GCP Vertex AI for training pipelines, deployment, and monitoring.

Do your AI engineers cover both classical ML and deep learning?

Yes. From regression and clustering to Transformers, NLP, and computer vision. Full spectrum coverage.

Can your engineers build RAG pipelines and AI agents?

Yes. Production experience with Pinecone, Weaviate, FAISS, LangChain, and CrewAI for agentic AI workflows.

Ready to Hire?

Share your requirement and get a shortlist in 72 hours.

Email info@greatexservices.com

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