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

DMS Vision Inc.
Newark, NJ Contractor
POSTED ON 6/16/2026 CLOSED ON 7/16/2026

What are the responsibilities and job description for the Microsoft Certified Azure AI Engineer with AI foundary exp (Onsite) position at DMS Vision Inc.?

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 |  

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