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AI Data Science Engineers (Microsoft Ecosystem | Med Devices)

  • Source: LinkedIn
  • Entegee
  • Remote
  • United States
  • Full-Time
  • Mid level

Job Description

100% REMOTE Microsoft Ecosystem AI Data Scientist (Medical Devices)

(Microsoft Ecosystem: MS Copilot, M365 suite, Automation, data analytics)

  • Regulatory industry exp highly preferred: Medical Devices, Biomed, Biotech, Biopharma, Life Sciences, FDA, etc.
  • Competitive W2 pay rate (DOE) depending-on-exp and industry best fit!
  • 1-2 year project

*** MUST have either a U.S. Citizenship, Green Card, or valid EAD visa ***

Please send me your resume ASAP before this priority Med Device req closes soon!

PROJECT SCOPE:

Top technical skills that are required for the role (a Microsoft AI Data Science blended environment )

  1. Strong technically as an AI Data Science engineer/developer
  2. Fluent in the Microsoft ecosystem
  3. Able to support AI, Data Science apps, automation, analytics, and Copilot-based solutions
  4. Capable of growing with rapidly evolving AI tools and platforms

REQUIREMENTS:

  • MUST have either a Ph.D./MSCS/BSCS in AI, Data Science, computer science, or related degree
  • 5+ years’ experience with AI Data Science Engineering & Development
  • Strong with Microsoft ecosystem (M365 suite, Power BI, Copilot Studio, SharePoint, etc.)
  • AI development: MS Copilot , GenAI, Agentic AI, SLM/LLMs, MCP, RAG, tooling, toolchain integration, etc.
  • Python, R, or any related Python frameworks (Flask, PyTorch, PySpark, etc.) or Deep Learning frameworks/tools (TensorFlow, Keras, etc.)
  • Familiar with developing ML algorithms

Thanks,

Bob A. Russ, MBA

**Director IT Recruiting SME** Software Systems CyberSecurity Data Science IoT (DoD Aerospace Medical Devices)

M: 818.568.6948

E: [email protected]

Entegee, Inc.

www.Entegee.com

World Leader in IT and Engineering Workforce Solutions

Equal Opportunity Employer/Veterans/Disabled

Skills

  • power-bi
  • microsoft-sharepoint
  • Python
  • Flask
  • PyTorch
  • pyspark
  • Tensorflow
  • Keras
  • aws-iot
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