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Azure AI/ML Engineer

Role overview

Qualifications

  • Azure ML / Azure Machine Learning
  • Strong Python development experience
  • MLOps, CI/CD, and Azure DevOps
  • .NET / C# application and API integration

Responsibilities

  • Build and deploy machine learning models using Azure ML and Python.
  • Develop data pipelines for ML training and production workloads.
  • Build and maintain MLOps/CI-CD pipelines for automated model deployment.
  • Integrate ML models with existing .NET/C# APIs and services.

Key facts

  • Remote from: Anywhere
  • Full time
  • AI/ML Engineer
  • English

Hard skills

About the company

Diverse Lynx logo

Diverse Lynx

IT Services & IT Consulting

We are a WBENC and NMSDC certified company helping our clients in their Diversity spending on Staffing or Contingent Workforce Services. Established in 2002 and headquartered out of Princeton-NJ, our 2000+ associates’ strength globally helps clients with talent across Technology, Healthcare, Life Sciences, Aerospace, Automotive, Energy, Pharmaceuticals, Retail, Telecom, Manufacturing and Engineering domains. Our presence in USA, Canada & India helps us support clients in IT, Non-IT, Healthcare, Hospital and Clinical hiring, across the globe.

Company details

Company typeLarge
IndustryIT Services & IT Consulting
Company size1001 - 5000

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Job description

Role: Azure AI/ML Engineer
Location: Remote
Job Type: Full-Time
Salary: $120,000–$130,000/year

Role Summary
We are looking for an experienced Azure AI/ML Engineer with strong expertise in Azure ML, Python, MLOps/CI-CD, .NET/C#, and AI/GenAI. The candidate will design, develop, deploy, and maintain end-to-end machine learning solutions in a secure Azure environment.
Must-Have Skills
Azure ML / Azure Machine Learning
Strong Python development experience
MLOps, CI/CD, and Azure DevOps
.NET / C# application and API integration
AI/GenAI, including Copilot or intelligent agent development
ML model training, deployment, validation, and monitoring
Data pipelines and ML workflows
Azure security, identity, and secure infrastructure
Key Responsibilities
Build and deploy machine learning models using Azure ML and Python.
Develop data pipelines for ML training and production workloads.
Build and maintain MLOps/CI-CD pipelines for automated model deployment.
Integrate ML models with existing .NET/C# APIs and services.
Implement secure Azure ML infrastructure using identity-based access.
Monitor and maintain production ML solutions.
Support development of Generative AI applications, Copilots, and intelligent agents.
Collaborate with data, application, DevOps, and AI engineering teams.









Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may unsubscribe at any time.
Security Notice: Our official website is www.diverselynx.com We do not operate or authorize any other websites representing Diverse Lynx LLC.

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Marcus Rivera

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