Job ID :
40759
Company :
Internal Postings
Location :
Pittsburgh, PA
Type :
Contract
Duration :
12 Months
Salary :
DOE
Status :
Active
Openings :
1
Posted :
15 Dec 2023
Job Seekers, Please send resumes to resumes@hireitpeople.com
Job Responsibilities:
  • Design, develop, and deploy generative AI models and systems across the full stack, from data pipelines to front-end applications.
  • Collaborate with data scientists, machine learning engineers, and software engineers to define and execute the technical roadmap for generative AI projects.
  • Lead the architecture and design of generative AI systems, ensuring scalability, performance, and reliability.
  • Develop and implement best practices for generative AI model development, deployment, and monitoring.
  • Stay up-to-date on the latest advancements in generative AI research and apply them to our products and services.
  • Communicate effectively with technical and non-technical stakeholders to ensure alignment on generative AI initiatives.
  • Design generative AI models and outputs seamlessly into user interfaces.
  • Stay up-to-date on the latest front-end frameworks and libraries (e.g., React, Vue.js, Angular) and apply them to generative AI projects.
  • Optimize front-end performance and responsiveness for various platforms and devices.
  • Collaborate with designers and UI/UX experts to ensure a consistent and intuitive user experience.
  • Design robust and scalable back-end APIs for generative AI models.
  • Implement efficient data pipelines to feed data to and extract outputs from generative AI models.
  • Choose and optimize backend technologies (e.g., Python, Java, Node.js) based on model requirements and system limitations.
  • Ensure the security and reliability of generative AI systems in production.

Qualifications:

  • Masters degree or bachelors degree in computer science, Machine Learning, or a related field, or equivalent experience.
  • 12+ years of experience in software engineering, with a focus on full-stack development.
  • 4+ years of experience with generative AI models and techniques, such as GANs, VAEs, and autoregressive models.
  • Strong understanding of deep learning frameworks, such as TensorFlow, PyTorch, or MXNet.
  • Excellent communication, collaboration, and problem-solving skills.
  • Ability to work independently and as part of a team.
  • Strong passion for generative AI and its potential to transform the world.