AI Technology Analyst at Sharp Electronics Corp
Montvale, NJ 07645, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

83000.0

Posted On

28 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Natural Language Processing, Data Science, Aws, Model Validation, Machine Learning, Crm, Model Development, Google Cloud, Artificial Intelligence, Computer Vision, Nlp, Azure, Training

Industry

Information Technology/IT

Description

Overview:
The AI Technology Analyst 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 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.

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.

ABOUT US: SHARP IMAGING AND INFORMATION COMPANY OF AMERICA (SIICA)

Markets office technology products and solutions that help businesses to boost productivity, streamline workflow and reduce costs. SIICA is comprised of two separate sales channels: Sharp Business Systems (direct sales division) and channel sales which represents all resellers and distributors that market Sharp products and solutions for businesses in the US and in Latin America through SIICA’s Latin America Group (LAG).

How To Apply:

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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
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