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Zedtreeo
STARTING FROM $5/HR · 48-HOUR SHORTLIST · 5-DAY FREE TRIAL
Live · Pre-vetted candidates ready

Hire Remote AI & Machine Learning Engineers

Pre-vetted AI/ML engineers with production experience in deep learning, NLP, computer vision, and LLM integration. Dedicated to your team, working your timezone, deploying models from day one.

  • TensorFlow, PyTorch, scikit-learn, Hugging Face specialists
  • LLM integration: OpenAI, Claude, LangChain, RAG pipelines
  • 70–90% cost savings vs US/EU AI engineers
  • 5-day free trial, no commitment required
Starting Rate
$5/hour

Full-time dedicated · No hidden fees · No long-term contracts

48hrs
Shortlist
70–90%
Savings

Available Candidates

Pre-vetted professionals ready to start

60+
AI/ML Engineers Placed
95%
Retention Rate
<7 Days
Avg. Match Time
Reviews
On Trustpilot
Benefits

Why hire remote ai/ml engineers with Zedtreeo.

Every ai/ml engineersis pre-vetted, AI-trained, and matched to your timezone. Here's what sets them apart.

🤖

Production ML Pipelines

Every AI/ML engineer builds end-to-end pipelines — from data preprocessing and feature engineering through model training, evaluation, deployment, and monitoring in production environments.

🧠

LLM & GenAI Expertise

Experienced with OpenAI, Anthropic Claude, LangChain, LlamaIndex, RAG architectures, fine-tuning, prompt engineering, and building AI-powered products that deliver real business value.

📊

Full ML Stack

TensorFlow, PyTorch, scikit-learn, XGBoost, Hugging Face Transformers, MLflow, Kubeflow, Weights & Biases — whatever your ML infrastructure demands.

Your Timezone

Your AI/ML engineer works your business hours — EST, GMT, AEST, or any timezone. Real-time collaboration on model reviews, experiment tracking, and deployment planning.

💰

70–90% Savings

Senior AI/ML engineers from $5/hr. Replace $120–$250/hr US contractors with dedicated, full-time talent at a fraction of the cost. No recruitment fees.

🔒

Data Security & Compliance

ISO 27001-aligned infrastructure. NDA-backed, GDPR and HIPAA-aware practices. Secure model training environments with data isolation, access controls, and audit trails.

Expertise

Skills & tools.

Our ai/ml engineers are proficient across the technologies and tools that matter most.

PythonTensorFlowPyTorchscikit-learnHugging FaceLangChainLlamaIndexOpenAI APINLPComputer VisionDeep LearningReinforcement LearningPandasNumPyApache SparkSQLMLflowKubeflowWeights & BiasesDVCAWS SageMakerGoogle Vertex AIAzure MLDockerRAG PipelinesFine-TuningPrompt EngineeringVector Databases
Process

How it works.

From first conversation to a fully onboarded team member — in as little as 7 days.

1

Share Your Requirements

Tell us the role, skills, and experience level you need.

2

We Match & Vet

Shortlisted pre-vetted candidates delivered within 48 hours.

3

Interview

Review profiles and interview your top candidates.

4

Free Trial

5-day no-cost trial to evaluate fit and performance.

5

Onboard & Scale

Your dedicated hire integrates with your team seamlessly.

⌬ Transparent Pricing

Simple, transparent rates.

No hidden fees, no recruitment charges, no long-term contracts. Start with a free 5-day trial.

Junior (1–3 yrs)

$5–$7/hr

Data preprocessing, feature engineering, model training with existing frameworks, Jupyter notebook analysis, API integration for pre-built ML services

Get Started →

Mid-Level (3–6 yrs)

$7–$10/hr

Custom model development, NLP/CV pipelines, LLM integration (RAG, fine-tuning), MLOps setup, experiment tracking, production deployment

Get Started →

Senior (6+ yrs)

$10–$15/hr

ML architecture design, research-to-production pipeline, team leadership, model optimization at scale, GenAI strategy, multi-model orchestration

Get Started →
70–90%
Cost Savings
<7 Days
Time to Hire
200+
Companies Served
Verified
On Trustpilot
FAQs

Frequently asked questions.

Common questions about hiring remote ai/ml engineers through Zedtreeo.

What AI/ML specializations do your engineers cover?
Our AI/ML engineers specialize in natural language processing (NLP), computer vision, recommendation systems, time-series forecasting, anomaly detection, and generative AI. Many have research publications and production experience with large-scale ML systems.
Can your engineers build LLM-powered applications?
Yes. Our mid-level and senior engineers have production experience with OpenAI, Claude, LangChain, LlamaIndex, RAG architectures, vector databases (Pinecone, Weaviate, ChromaDB), fine-tuning, and prompt engineering for enterprise AI applications.
How do you vet AI/ML engineers?
Every candidate completes a 6-stage screening: portfolio review with published models or papers, live ML coding challenge (model design, feature engineering), system design for scalable ML, LLM/GenAI proficiency test, English assessment, and cultural fit interview.
Can your engineer handle both research and production ML?
Yes. Our senior engineers bridge the gap between experimental notebooks and production systems. They set up MLOps pipelines with MLflow, Kubeflow, or Vertex AI for reproducible training, versioning, and automated deployment.
What cloud platforms do your AI/ML engineers work with?
AWS SageMaker, Google Vertex AI, Azure ML, and self-hosted GPU clusters. They're experienced with containerized model serving (Docker, Kubernetes), serverless inference, and cost-optimized training across cloud providers.
Do you offer AI/ML engineers for specific industries?
Yes. We've placed AI/ML engineers in healthcare (medical imaging, drug discovery), fintech (fraud detection, credit scoring), e-commerce (recommendation engines), logistics (demand forecasting), and SaaS (intelligent automation, chatbots).
Related Roles

Build a complete remote team.

Pair ai/ml engineers with other functions to scale across every business area.

⌬ Ready When You Are

Ready to hire remote ai/ml engineers?

Get matched with pre-vetted ai/ml engineers in 48 hours. Start with a free trial — no commitment, no risk.

Hire Remote AI/ML Engineers from $5/hr | Zedtreeo