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Azure Ai Engineer Remote Jobs in New York (NOW HIRING)

3B Staffing LLC

AI/ML Developer

Manhattan, NY · Remote

QBE Insurance Company Working status: 100% remote Location: 100% remote. Office is in downtown, NYC ... Certification in Azure AI Engineer Associate or similar. * Hands-on experience with TypeScript

3B Staffing LLC

AI/ML Developer

Manhattan, NY · Remote

QBE Insurance Company Working status: 100% remote Location: 100% remote. Office is in downtown, NYC ... Certification in Azure AI Engineer Associate or similar. * Hands-on experience with TypeScript

YO AI Labs

AI Engineer - Remote

New York, NY · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Mondo

AI Engineer

Manhattan, NY · Remote

$85 - $110/hr

Remote (U.S. candidates working EST hours) Start Date Is: ASAP Duration: 6 Month Contract ... Experience with Azure AI Foundry. * Experience consuming AI models through AWS, Azure, or GCP.

YO AI Labs

AI/ML Engineer - Remote

New York, NY · Remote

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

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Azure Ai Engineer Remote information

What is an Azure AI engineer?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.

How do Azure AI engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

What are the key skills and qualifications needed to thrive as an Azure AI engineer remote, and why are they important?

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

What are the most commonly searched types of Azure Ai Engineer jobs in New York?

The most popular types of Azure Ai Engineer jobs in New York are:

What are popular job titles related to Azure Ai Engineer Remote jobs in New York?

For Azure Ai Engineer Remote jobs in New York, the most frequently searched job titles are:

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The top searched job categories for Azure Ai Engineer Remote jobs in New York are:

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Cities in New York with the most Azure Ai Engineer Remote job openings:

Azure Ai Engineer Remote jobs near you

AI/ML Developer

3B Staffing LLC

Manhattan, NY • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Role: AI/ML Developer

Hiring Company: QBE Insurance Company

Working status: 100% remote

Location: 100% remote. Office is in downtown, NYC at 1 New York Plaza

Interview: 2 video technical interviews

VISA status. Any VISA status: Us Citizen, Green Card,

Job Title - AI/ML Developer
Location - Remote
Duration - 12+ Months

Experience in developing code in Python and TypeScript is needed, with an understanding of Gen AI

Job Summary:

We are seeking an experienced AI/ML Developer to join our client team. The ideal candidate will create, code, deploy, optimize, and manage machine learning models and AI solutions hosted on the Azure platform. This includes integrating OpenAI models and interfaces as well as handling cutting-edge AI frameworks such as Llama, Mistral, and Cohere. The role requires strong expertise in AI/ML and working knowledge of Azure DevOps and AI/ML lifecycle management.

Key Responsibilities:

  • Design, develop, and maintain scalable and secure AI/ML applications in Azure cloud infrastructure.
  • Deploy and manage machine learning models using Azure Machine Learning and other Azure AI tools.
  • Implement and manage OpenAI, familiarity with Llama, Mistral, and Cohere or similar models and interfaces. Optimize models for performance, scalability, and cost-effectiveness.
  • Automate deployment pipelines using Azure DevOps or similar CI/CD tools. Establish and maintain ML pipelines, ensuring model reproducibility, monitoring, and version control
  • Collaborate on APIs and interfaces for seamless interaction with OpenAI and other frameworks. Monitor AI models in production for performance, drift, and anomalies.
  • Continuously improve AI/ML systems by integrating the latest research and frameworks. Create detailed documentation for workflows, pipelines, and system architecture.
  • Provide regular updates to stakeholders on the performance and progress of AI/ML initiatives.
  • Ability to quickly adapt and learn new languages or frameworks as needed.

Required Skills and Qualifications:

  • Good programming skills in Python and TypeScript
  • Hands-on experience with AI/ML tools, technologies, and libraries such as MLflow, Kubeflow, or Weights & Biases, and familiarity with ML frameworks like PyTorch, Langchain, and Scikit-learn
  • Strong experience with Azure AI/ML services
  • Experience in containerization using tools like Docker.
  • Familiarity with data preprocessing, model training, hyperparameter tuning, and inference optimization.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Experience with large language models (LLMs) and fine-tuning AI models.
  • Familiarity with cutting-edge AI research and the latest advancements in frameworks like Hugging Face and LangChain.
  • Certification in Azure AI Engineer Associate or similar.
  • Hands-on experience with TypeScript
  • Knowledge of distributed computing frameworks such as Spark or Rayis a plus
  • A master's degree is a plus.

Apply