Microsoft Certified Azure AI Engineer with AI foundary exp (Onsite)

Hybrid in Newark, NJ, US • Posted 17 hours ago • Updated 17 hours ago
Contract Corp To Corp
Contract Independent
Contract W2
6 Months
No Travel Required
Hybrid
Depends on Experience
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Job Details

Skills

  • Azure
  • OpenAI
  • LLMs
  • RAG
  • AI
  • ML

Summary

Hi,

Hope you are doing well,

Please find the job description below and let me know your interest.

Job Title: Microsoft Certified Azure AI Engineer with AI foundary exp (Onsite)

Location: Onsite in Newark, NJ

Duration: 6 Months

Job Description:

  • Azure AI
  • Python
  • LLMs
  • AI Agents
  • RAG

Role Overview

  • An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This role requires coding with Python, orchestrating AI models, and adhering to responsible AI standards for enterprise scalability

Key Responsibilities

  • AI & Agent Development: Design autonomous or semi-autonomous AI agents and RAG pipelines using Azure AI Foundry (formerly Azure AI Studio).
  • Testing & Evaluation: Implement performance and evaluation tooling (such as RAGAS or TruLens) to assess grounding accuracy, reduce hallucinations, and ensure model explainability.
  • Infrastructure Management: Develop scalable AI infrastructure and maintain reusable AI components in accordance with engineering best practices (version control, observability, CI/CD

Core Requirements & Skills

  • Technical Skills: Proficiency in Python, prompt engineering, and utilizing frameworks like LangChain, Semantic Kernel, or crewAI.
  • Cloud Experience: Deep understanding of the Microsoft Azure ecosystem, including Azure OpenAI Service, Azure Machine Learning, and Microsoft Fabric.
  • AI Governance: Strong focus on Responsible AI and Model Context Protocol (MCP) to ensure security, privacy, and fairness in model outputs.
  • Python (primary language)
  • ML frameworks: TensorFlow, PyTorch, Scikit-learn
  • Data pipelines and preprocessing
  • Model deployment and MLOps (e.g., MLflow, Docker, CI/CD) [indeed.com]
  • Machine learning, deep learning, and statistics
  • Data modeling and feature engineering
  • APIs and microservices
  • Cloud platforms (Azure ML, SageMaker, Vertex AI)
  • LLMs (GPT, Llama, etc.)
  • RAG (Retrieval-Augmented Generation)
  • Prompt engineering and vector databases
  • Ability to build AI-powered applications (chatbots, agents, copilots)
  • Skills: Communication~MySQL

If you are interested, please share your updated resume and suggest the best number & time to connect with you

Thanks & Regards


US IT RECRUITER, DMS VISIONS INC

Ext-104 |  

LinkedIn: 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91133942
  • Position Id: 2747-35330-
  • Posted 17 hours ago

Company Info

About DMS Vision Inc.

At DMS Vision, our main goal is to be an integral part of our customer’s success. With ambition to be a Global Premier Provider of innovative, value-based technology solutions, our team has the drive and determination to do whatever it takes to meet the needs of our clients. Through our services, we strive to save our client’s money, time and hassle in every way possible.

At DMS Vision, we provide IT Staffing, Software Development, Cybersecurity and IoT Development and Services.

Whenever we take on a new project, we take extensive measures to learn all that we can take care about our client’s business. This allows us to better understand their goals and become familiar with the company’s philosophy.

We combine the insights obtained from this unique perspective with our professional strategic processes to develop a detailed plan for achieving the client’s ultimate vision of accomplishment. Our collaborative approach to problem solving and our technological expertise enables us to tackle even the most complex of our customer’s problems.

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