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Hire Vetted Azure Engineers for AI Projects

Browse cloud engineers with Azure ML and Azure OpenAI experience for enterprise AI deployments, compliance-ready ML pipelines, and Microsoft ecosystem integration.

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Azure ML Engineer Azure AI Developer Cloud AI Architect Azure DevOps Engineer Enterprise AI Platform Engineer
MLOps & AI Infrastructure

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Aditya

Aditya

Senior
India — Kolkata (UTC+5.5) Active 20 hours ago Full-time, Part-time
AI & Machine Learning Engineers data science & analytics
python pytorch langchain scikit-learn rag +4
Open profile
Jesper

Jesper

Junior
Netherlands — Amsterdam (UTC+2) Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python prompt engineering pytorch sql scikit-learn +5
Open profile
Firas

Firas

Mid-Level
Tunisia — Tunis (UTC+1) Full-time, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python pytorch computer vision gcp hugging face +5
Open profile
Diego

Diego

Senior
Colombia — Bogota (UTC-5) Full-time
NLP & Prompt Engineering Automation & AI Workflows
ai agents openai api python prompt engineering azure +4
Open profile
Yash

Yash

Senior
India — Kolkata (UTC+5.5) Full-time, Contract
Automation & AI Workflows
python sql pandas numpy docker +4
Open profile
Ganga

Ganga

Mid-Level
India — Kolkata (UTC+5.5) Full-time
AI & Machine Learning Engineers Automation & AI Workflows
python ai agents azure llm fine-tuning llamaindex +4
Open profile
Daniel Perez

Daniel Perez

Mid-Level
Colombia — Bogota (UTC-5) Full-time, Part-time
AI & Machine Learning Engineers data science & analytics
python sql azure mlflow openai api +5
Open profile
Krishna Chaitanya

Krishna Chaitanya

Senior
India — Kolkata (UTC+5.5) Freelance, Part-time
AI & Machine Learning Engineers MLOps & AI Infrastructure
python openai api langchain hugging face pytorch +5
Open profile
Lan Đỗ Tú Trinh

Lan Đỗ Tú Trinh

Junior
Vietnam — Ho Chi Minh (UTC+7) Internship, Freelance
AI & Machine Learning Engineers Computer Vision & Deep Learning
python tensorflow pytorch azure docker +4
Open profile
Abdullahi

Abdullahi

Senior
Nigeria — Lagos (UTC+1) Contract, Freelance
Automation & AI Workflows AI Product & Strategy
prompt engineering sql python azure rag
Open profile

Hiring guide

Why companies hire Azure experts

Azure is the preferred cloud platform for enterprise AI, particularly for companies already in the Microsoft ecosystem. Azure engineers with AI expertise work with Azure Machine Learning, Azure OpenAI Service, and enterprise-grade AI governance tools.

Popular projects

  • Deploy enterprise AI with Azure OpenAI Service and compliance guarantees
  • Build ML training and serving pipelines on Azure Machine Learning
  • Integrate AI features into Microsoft 365 and Teams workflows
  • Design compliant AI infrastructure for regulated industries (finance, health)

What to look for

  • Azure ML and Azure OpenAI production experience
  • Understanding of enterprise compliance and governance requirements
  • Experience with Azure DevOps for ML CI/CD pipelines

Frequently asked questions

When should I choose Azure over AWS for AI?

Azure is often preferred by enterprises in the Microsoft ecosystem (Office 365, Teams, Active Directory), heavily regulated industries (finance, healthcare), and teams that want Azure OpenAI Service with enterprise compliance guarantees.

Can Azure engineers also work with OpenAI models?

Yes. Azure OpenAI Service provides the same GPT-4 models as OpenAI with enterprise compliance, SLAs, and data residency guarantees. Azure-experienced engineers often work with both platforms.

What compliance standards do Azure AI engineers work with?

Azure AI engineers in regulated industries often work with ISO 27001, SOC 2, GDPR, and HIPAA frameworks. Azure provides compliance certifications and tools that make it easier to meet these requirements compared to building from scratch.

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