Starting from $5/hr· Free 5-Day Trial
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.
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Pre-vetted professionals ready to start
Every ai/ml engineers is pre-vetted, AI-trained, and matched to your timezone. Here's what sets them apart.
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.
Experienced with OpenAI, Anthropic Claude, LangChain, LlamaIndex, RAG architectures, fine-tuning, prompt engineering, and building AI-powered products that deliver real business value.
TensorFlow, PyTorch, scikit-learn, XGBoost, Hugging Face Transformers, MLflow, Kubeflow, Weights & Biases — whatever your ML infrastructure demands.
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.
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.
ISO 27001 certified infrastructure. NDA-backed, GDPR and HIPAA compliant. Secure model training environments with data isolation, access controls, and audit trails.
Our ai/ml engineers are proficient across the technologies and tools that matter most.
From first conversation to a fully onboarded team member — in as little as 7 days.
Tell us the role, skills, and experience level you need.
Shortlisted pre-vetted candidates delivered within 48 hours.
Review profiles and interview your top candidates.
5-day no-cost trial to evaluate fit and performance.
Your dedicated hire integrates with your team seamlessly.
No hidden fees, no recruitment charges, no long-term contracts. Start with a free 5-day trial.
Data preprocessing, feature engineering, model training with existing frameworks, Jupyter notebook analysis, API integration for pre-built ML services
Get StartedCustom model development, NLP/CV pipelines, LLM integration (RAG, fine-tuning), MLOps setup, experiment tracking, production deployment
Get StartedML architecture design, research-to-production pipeline, team leadership, model optimization at scale, GenAI strategy, multi-model orchestration
Get StartedCommon questions about hiring remote ai/ml engineers through Zedtreeo.
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.
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.
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.
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.
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.
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).
See how companies achieved measurable outcomes by hiring remote ai/ml engineers through Zedtreeo.
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