Generative AI Platform Engineer

DPR Construction

Atlanta (GA)

Vor Ort

USD 110.000 - 160.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

DPR Construction is seeking a mid-level AI Engineer to design and deploy end-to-end generative AI solutions that align with business goals. You will translate requirements into model designs, ensure reliability and security, and collaborate across teams to drive measurable impact.

The role emphasizes Python-based data preparation and analysis, with opportunities to extend ML systems within enterprise-scale AI initiatives.

Qualifikationen

  • Bachelor’s degree in computer science, data science, engineering, or a related field, or equivalent experience required.
  • 2-4 years of experience in machine learning, AI development, data science, or related field required.

Aufgaben

  • Builds and refines end-to-end generative AI solutions aligned with defined business objectives.
  • Translates business requirements into AI model designs and technical implementation plans.
  • Implements best practices for model scalability, reliability, security, and maintainability.
  • Utilizes Python and related technologies to prepare, transform, and analyze data.
  • Collaborates with cross-functional stakeholders and communicates findings to technical and non-technical audiences.
  • Supports execution of AI integration initiatives aligned with enterprise roadmap.
  • Evaluates emerging AI capabilities and contributes to innovation initiatives.

Kenntnisse

Python
Machine Learning
Data analysis
Communication

Ausbildung

Bachelor's degree in CS or related field

Tools

Docker
Kubernetes
CI/CD

Jobbeschreibung

DPR Construction is seeking a mid-level AI Engineer to design and deploy end-to-end generative AI solutions that align with business goals. You will translate requirements into model designs, ensure reliability and security, and collaborate across teams to drive measurable impact.

The role emphasizes Python-based data preparation and analysis, with opportunities to extend ML systems within enterprise-scale AI initiatives.

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