Available in 24 Hours

Hire Top 1%
AI & Automation Engineers.

Expert in Python, LLMs, TensorFlow, PyTorch, OpenAI APIs, LangChain, and end-to-end machine learning pipelines. Build intelligent automation, chatbots, recommendation engines, and more.

No Recruitment Fee 100% IP Ownership Strict NDA 2-Week Free Trial
Send a Message

Tell Us About Your Project

We'll get back to you with a plan, timeline, and no-surprise pricing.

100% Confidential  ·  No spam  ·  No obligation

40+

AI Projects Delivered

24hrs

Avg. Onboarding Time

98%

Client Satisfaction

8+

Years Engineering

Engagement Models

Choose How You Hire

Flexible models to match your AI ambition and budget.

Hourly Basis

Pay only for hours worked. Ideal for AI proofs of concept, fine-tuning, or quick integrations.

  • Pay as you go — no lock-in
  • Detailed timesheets provided
  • Scale up or down anytime
  • Min. 10 hours engagement
Get Hourly Quote
Most Popular

Monthly Dedicated

Full-time AI/ML engineer (160 hrs/month) building and iterating your intelligent systems.

  • 160 hours / month
  • Daily standups & reporting
  • Direct team integration
  • 2-week free trial period
Hire Dedicated Engineer

Fixed Price Project

End-to-end AI project — from data prep to model deployment to production monitoring.

  • Milestone-based delivery
  • No surprise billing
  • Full NDA + IP protection
  • Post-launch monitoring included
Get Fixed Quote
How It Works

Hired in 4 Simple Steps

1
Share Requirements

Tell us the AI use case — chatbot, recommendation engine, LLM integration, or automation.

2
We Match Profiles

Within 24 hours, receive 2–3 pre-vetted AI/ML engineer profiles with project portfolios.

3
Interview & Select

Technical interview or an AI-focused coding task to validate expertise.

4
Onboard & Build

Sign the agreement and start building intelligent solutions from Day 1.

Why IV Infotech

We vs. Traditional Hiring

Features Traditional Hiring IV Infotech Engineers
Time to Hire4–8 Weeks24–48 Hours
Recruitment CostHigh (Agency Fees)Zero
Training & OnboardingWeeks of Ramp-UpPre-Vetted, Ready to Ship
Infrastructure CostsOffice, GPU Servers, HRZero Overhead
ScalabilitySlow & RigidUp or Down Anytime
IP & Model OwnershipOften Disputed100% Yours
Python
TensorFlow
PyTorch
OpenAI API
LangChain
Docker
AWS SageMaker
Vector DBs
Scikit-Learn
MLOps
Python
TensorFlow
PyTorch
OpenAI API
LangChain
Docker
AWS SageMaker
Vector DBs
Scikit-Learn
MLOps
FAQ

Frequently Asked Questions

Everything about hiring AI/ML engineers from IV Infotech.

Our AI engineers deliver a wide range of solutions: LLM-powered chatbots and virtual assistants (GPT-4, Claude, Gemini integration), recommendation engines, predictive analytics, NLP pipelines (sentiment analysis, document parsing), computer vision systems, AI workflow automation, and RAG (Retrieval-Augmented Generation) applications using LangChain and vector databases like Pinecone and Weaviate.

Absolutely. We specialise in embedding AI capabilities into existing web and mobile applications. Whether it's adding an intelligent search layer, automating support with a chatbot, or generating personalised content — our engineers integrate OpenAI, Anthropic, or open-source model APIs cleanly into your stack, with proper rate limiting, caching, fallback handling, and cost optimisation.

A focused proof-of-concept (e.g., LLM chatbot, document Q&A) can be delivered in 2–4 weeks. A full ML pipeline project (data collection → training → evaluation → deployment → monitoring) typically takes 6–12 weeks depending on dataset size and model complexity. We use agile sprints with weekly demos so you see progress continuously.

Confused about which model to choose?

Let's have a free 15-minute call. No pitch, just clarity on your AI project.

Book Free Call WhatsApp Us

IV AI Assistant Online now
Hi, I am Ask IV. How can I help you today?