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Remote AI Data Integration Specialist

Posted Yesterday
Software Development
Full Time
USA

Overview

The AI Data Integration Specialist serves as a technical expert responsible for designing, implementing, and optimizing data pipelines that enable AI/ML capabilities within mission-critical federal IT operations.

In Short

  • Design and optimize data pipelines for AI/ML capabilities.
  • Conduct assessments of existing data sources for AI applications.
  • Perform gap analysis on data quality and integration challenges.
  • Implement metadata tagging standards for data discoverability.
  • Support ML model development with training datasets.
  • Collaborate with stakeholders to understand data requirements.
  • Document data integration patterns and best practices.
  • Calculate and communicate ROI for data integration initiatives.
  • Provide technical guidance on data feasibility for AI initiatives.
  • Support executive briefings with data-driven insights.

Requirements

  • Deep expertise in data engineering and integration architecture.
  • Experience with AI/ML applications and data governance.
  • Strong analytical and problem-solving skills.
  • Ability to translate technical challenges for stakeholders.
  • Hands-on experience with data quality and compliance standards.

Benefits

  • Opportunity for professional growth and development.
  • Collaboration with a dynamic community of experts.
  • Impactful work supporting Veterans’ access to healthcare.
Kentro logo

Kentro

Kentro, formerly known as IT Concepts, is a forward-thinking organization dedicated to innovation and collaboration in the health informatics sector. With a commitment to advancing customer missions and fostering professional growth, Kentro aims to make a positive impact on communities. The company embraces a future focused on the 'Core of More,' emphasizing personal and professional development within a supportive community. Kentro is actively involved in improving health information technology interoperability and data usability, striving to enhance patient outcomes through effective project management, research, and collaboration with various stakeholders in the healthcare system.

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