Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Park Ridge, NJ, United States
Posted
2 months ago
AWSMachine LearningNLPAzureComputer VisionGoogle Cloud
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:
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.
- 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.
- 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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