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Associate Generative AI Engineer

Philadelphia, NY
Permanent

Posted

Associate Generative AI Engineer
End Client : Radian
Location: Philadelphia, PA 19003 (3 days onsite) (1 In-person Interview)
Duration 6mth Contract to Hire
USC Citizen or Green Card

Must Have:
  • Experience in the use of Microsoft Access (2003, 2007, 2010).
  • LinkedIn Id

Summary:
  • 1-2 years of prior work-related experience
  • The Associative Generative AI Engineer is responsible the development of innovative AI solutions.
  • Expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications.
  • The resource will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence.

Primary Duties and Responsibilities:
  • Design and develop algorithms for generative models using deep learning techniques.
  • Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems.
  • Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies.
  • Optimize and fine-tune generative models for performance and efficiency.
  • Troubleshoot and resolve issues related to generative AI models and implementations.
  • Create and maintain documentation for generative AI models and their applications.
  • Communicate complex technical concepts and findings to non-technical stakeholders.
  • Perform other duties as assigned or apparent.

Degree Requirement:
  • Bachelor's Degree or Equivalent Experience

Other Qualifications, including any special skills, capabilities, and competencies:
  • Experience in the use of Microsoft Access (2003, 2007, 2010).
  • 2+ years of related software development experience.
  • A proven understanding of Visual Basic and SQL Server.
Two years spent in the delivery and maintenance of mission critical Access solutions

Job Type: Permanent

Job ID: 254861928