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AI/ML Technology Analyst Cloud Platforms

Recruit Professional ServicesPark Ridge, NJ🇺🇸United StatesPosted 5 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

The AI/ML Technology Analyst Cloud Platforms role centers on delivering IT solutions across various business functions, with a strong background in artificial intelligence, machine learning, and technology analysis. This role involves analyzing and implementing AI solutions, optimizing IT processes, and supporting the development of innovative technology strategies.
Responsibilities:
  • Analyze and interpret complex data sets to uncover patterns, trends, and opportunities for AI-driven enhancements.
  • Develop and deploy AI/ML models and algorithms tailored to solve specific business challenges.
  • Collaborate with IT and business stakeholders to embed AI capabilities into new or existing applications and workflows.
  • Continuously monitor the performance of AI solutions, ensuring models remain accurate, relevant, and efficient.
  • Conduct research and evaluations of emerging AI technologies and tools to guide strategic IT initiatives.
  • Provide hands-on technical support and subject matter expertise for AI-related projects across departments.
  • Ensure that all AI implementations align with data privacy and security regulations and ethical AI practices.
  • Maintain comprehensive documentation for AI models, systems, workflows, and evaluation metrics.
Qualifications:
  • Bachelors degree preferred or equivalent work experience is required
  • Must have 3-5 years as a Technology Analyst
  • Demonstrated experience in AI model development, training, and deployment in enterprise settings.
  • Must have strong knowledge of cloud platforms such as Microsoft Copilot, AWS, Azure, or Google Cloud for hosting and scaling AI solutions.
  • Familiarity with big data frameworks and data engineering concepts.
  • Ability to evaluate and explain AI solutions to non-technical stakeholders.
  • Knowledge of AI governance, model validation, and data ethics.
  • Harnessed the power of Microsoft Copilot to transform enterprise operations-boosting efficiency, accelerating insights, and enabling smarter work.
  • Skilled in deploying Copilot across enterprise functions to unlock productivity gains and support digital transformation initiatives.
Preferred Qualifications
  • Certification in Artificial Intelligence, Machine Learning, Data Science, or related fields.
  • Experience working in environments that integrate AI with ERP, CRM, or supply chain systems.
  • Exposure to Natural Language Processing (NLP), computer vision, or predictive analytics applications.
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Skills

AWS
Machine Learning
NLP
Azure
Computer Vision
Google Cloud

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