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Nondestructive & Visual Inspection Logo Nondestructive & Visual Inspection · IT - Software Development

Senior Cognitive AI / Machine Learning Engineer

United States · Job Posted January 29, 2026
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Job Description

Our client has made substantial investments in science with cloud technologies. This team harnesses natural language processing and AI to extract valuable insights from data, with a strategic focus on enhancing healthcare services and outcomes for their members. Spearheaded by visionary technical executives, the organization is actively migrating to cloud infrastructure and implementing AI solutions across various domains. They are currently seeking experienced AI engineers to join their innovative teams. The Senior Cognitive AI / Machine Learning Engineer role requires a blend of educational qualifications, technical prowess, and professional experience to drive impactful AI initiatives within the organization. Join us in shaping the future of AI-powered healthcare and make a meaningful impact on the lives of millions.

Job Responsibility

  • Harness natural language processing and AI to extract valuable insights from data, with a strategic focus on enhancing healthcare services and outcomes for their members
  • Drive impactful AI initiatives within the organization

Requirements

  • Bachelor’s Degree in Computer Science, Mathematics, Statistics, or a related quantitative field, with a minimum of 5 years of relevant experience
  • OR Master’s Degree in a similar field with at least 3 years of experience
  • 3-5 years of professional experience leveraging large sets of structured and unstructured data to derive tactical and strategic insights
  • Proficiency with Python (2+ years of experience)
  • Hands-on experience with NoSQL databases
  • Familiarity with cloud technologies
  • Proven ability to lead resources, drive project approaches, and oversee tactical operations within departmental areas
  • Strong oral and written communication skills
  • Ability to work autonomously with a dynamic and flexible approach
  • Applicants must be authorized to work in the United States legally

Nice to have

  • Previous experience in healthcare or managed care domains
  • Demonstrated expertise in data management, mining, and analytics
  • Experience with Azure cloud services
  • Familiarity with Kubernetes
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