AI/ML Technology Analyst Cloud Platforms

Park Ridge, NJ, US • Posted 60+ days ago • Updated 9 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Technology Assessment
Algorithms
Collaboration
Research
Technical Support
Privacy
Documentation
Workflow
Evaluation
Training
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Hosting
Big Data
Data Engineering
Microsoft
Productivity
Machine Learning (ML)
Data Science
Artificial Intelligence
Enterprise Resource Planning
Customer Relationship Management (CRM)
Supply Chain Management
Natural Language Processing
Computer Vision
Predictive Analytics

Summary

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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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: 90764204
Position Id: 639
Posted 30+ days ago

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