Full Stack Architect

Hire IT People

Pittsburgh, PA, United States

3 months ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Job source

hireitpeople.com

Tech stack

Mxnet Java (Programming Language) Application Programming Interfaces (APIs) Design of User Interfaces Python (Programming Language) Machine Learning Node.Js Tensorflow Software Engineering Pytorch ReactJS Deep Learning

+6 more

Generative AI Vue.js AngularJS Information Technology Variational Autoencoders Data Pipelines

Job description

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.

Requirements

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.