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AI/ML

Hire AI/ML Developers

Hire AI/ML engineers from Codazz — pre-vetted LLM, computer vision and MLOps specialists, matched within 48 hours. NDA from day one, timezone-aligned, production-grade model deployment.

30+
AI/ML Engineers
8+ Yrs
Avg Experience
75+
AI Projects Shipped
48hrs
Start Time
Hire AI/ML DevelopersView Profiles

Get Your Custom Project Plan

Share your project details — a senior engineer responds within 4 hours.

🔒NDA Protected
⚡24hr Response
💬Free Consultation
Why Codazz

Why Hire AI/ML
Developers From Us.

✅

Vetted AI/ML Experts

Every AI/ML engineer passes our 5-stage vetting: ML system design challenge, model implementation, live pair programming with real datasets, culture fit, and reference checks. Only the top 3% qualify.

🌍

Timezone-Aligned

Our AI/ML engineers work in your timezone. US, European, Middle Eastern, or APAC business hours — your engineer is online when you need them.

🔒

NDA From Day 1

AI projects involve proprietary data and algorithms. We sign enforceable NDAs before any discussion. Your data, models, and IP are fully protected.

⚡

Full-Stack AI

Our engineers handle everything from data engineering and model training to API deployment and production monitoring. No gaps in your AI pipeline.

💰

40-60% Cost Savings

Senior AI/ML talent is expensive to hire in-house. Get the same caliber engineers at a fraction of the cost with no recruitment overhead.

🔄

LLM & GenAI Ready

Our engineers are current with GPT-4, Claude, Gemini, LangChain, RAG architectures, fine-tuning, and prompt engineering — the skills you need right now.

Available Talent

Meet Our
AI/ML Developers.

A1

Senior AI/ML Engineer

9 years experience
Built recommendation engines serving 5M+ users
PythonTensorFlowPyTorchLangChainAWS SageMakerMLflow
Available Now
A2

LLM & GenAI Specialist

7 years experience
15+ LLM-powered production applications
GPT-4/Claude APIsLangChainRAGFine-tuningVector DBsPrompt Engineering
Available Now
A3

Computer Vision Engineer

8 years experience
Deployed CV models on 100K+ devices
PyTorchOpenCVYOLODetectron2TensorRTEdge AI
Available in 1 week
A4

MLOps & Data Engineer

6 years experience
Built ML platforms processing 1B+ predictions/day
KubeflowMLflowAirflowDockerKubernetesFeature Stores
Available Now
Engagement Models

Flexible Hiring
Models.

Most Popular

Full-Time Dedicated

40 hrs/week

A developer works exclusively on your project, fully embedded in your team and processes.

  • Dedicated resource
  • Daily standups
  • Sprint planning
  • Direct Slack/Teams access
Budget-Friendly

Part-Time Flexible

20 hrs/week

Consistent senior support without the full-time commitment. Ideal for startups and scaling teams.

  • Flexible scheduling
  • Async communication
  • Weekly sync calls
  • Progress reports
Enterprise

Team Augmentation

2-10 devs

Extend your existing engineering team with multiple developers who integrate into your workflow.

  • Team lead included
  • CI/CD integration
  • Code review process
  • Knowledge transfer
Defined Budget

Project-Based

Fixed Scope

A dedicated team for a defined project with clear milestones, timeline, and deliverables.

  • Fixed-price quote
  • Milestone payments
  • Project manager
  • Warranty included
Tech Expertise

AI/ML
Tech Stack.

ML Frameworks

TensorFlowPyTorchscikit-learnJAXHugging FaceONNX

LLM & GenAI

OpenAI GPT-4Anthropic ClaudeLangChainLlamaIndexRAGFine-tuning

Computer Vision

OpenCVYOLODetectron2MediaPipeTensorRTCoreML

NLP

spaCyNLTKTransformersSentence-BERTNamed Entity RecognitionSentiment Analysis

MLOps & Infra

MLflowKubeflowAWS SageMakerVertex AIDVCFeature Stores

Data & Vector DBs

PineconeWeaviateChromaDBMilvusPostgreSQL pgvectorRedis Vector
Hiring Process

4 Simple Steps
To Your Team.

01

Share Requirements

Day 1

Tell us about your project, tech stack, and the type of developer you need. We will match you with the best-fit candidates from our vetted talent pool.

02

Interview Developers

Day 1-2

Interview pre-screened developers who match your requirements. Evaluate technical skills, communication, and culture fit on your own terms.

03

Onboard & Integrate

Day 2-3

Your selected developer signs the NDA, gets access to your tools, and joins your team channels. We handle all the logistics.

04

Start Building

Day 3+

Your developer is fully operational — writing code, attending standups, and shipping features. We provide ongoing support and performance management.

FAQ

Common
Questions.

You can interview pre-matched AI/ML engineers within 24 hours of sharing your requirements. Onboarding typically completes within 48 hours.

Our AI/ML engineers specialize in LLM integration (GPT, Claude, Gemini), computer vision, NLP, predictive analytics, recommendation systems, and MLOps. We cover the full AI/ML stack from research to production.

Yes. Our engineers regularly integrate AI capabilities into existing applications — adding LLM-powered features, building recommendation engines, or implementing computer vision pipelines within your current architecture.

Rates depend on seniority, the depth of AI/ML specialization you need, and whether the engagement is full-time, part-time, or team augmentation. Pricing is scoped to the specific role and engagement model once we understand your requirements, with no hidden fees, recruitment charges, or long-term lock-in.

Yes. Our AI/ML engineers handle the full lifecycle: data preparation, model training, evaluation, deployment, monitoring, and continuous improvement in production environments.

Absolutely. Many clients start with a single AI/ML engineer to build a proof of concept, then scale to a full team for production deployment. Our models are fully flexible.

Ready to Hire AI/ML Developers?

Share your requirements. We will match you with pre-vetted ai/ml developers within 24 hours.

Get Your Custom Project Plan

Share your project details — a senior engineer responds within 4 hours.

🔒NDA Protected
⚡24hr Response
💬Free Consultation