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Scalable Systems

Scalable Systems

via Glassdoor

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SSGAIDEV7325

Anywhere
Full-time
Posted 12/23/2025
Verified Source
Key Skills:
Python
TensorFlow
PyTorch
Hugging Face Transformers
Generative AI models (GPT, DALL-E, Stable Diffusion)
NLP
Computer Vision

Compensation

Salary Range

$Not specified

Responsibilities

Designing, developing, and deploying Generative AI models and integrating AI capabilities into products.

Requirements

Experience with AI development, deep learning, Python, and Generative AI models, along with cloud deployment experience.

Full Description

Job Openings Title: Generative AI Engineer Job Code: SSGAIDEV7325 Location : New Jersey / Remote Job Description: The Generative AI Engineer will be responsible for designing, developing, and deploying cutting-edge Generative AI models to drive innovation and create new business opportunities. This role will focus on leveraging advanced AI techniques, such as GPT, DALL-E, and Stable Diffusion, to build solutions for content generation, automation, and creative applications. The Generative AI Engineer will collaborate with data scientists, product teams, and business stakeholders to deliver impactful AI-driven solutions. Responsibilities: • Design, develop, and deploy Generative AI models using frameworks like OpenAI GPT, Hugging Face, and Stable Diffusion. • Implement natural language processing (NLP) and computer vision solutions for text, image, and video generation. • Collaborate with cross-functional teams to integrate Generative AI capabilities into products and workflows. • Optimize Generative AI models for performance, scalability, and ethical considerations. • Stay updated with emerging trends in Generative AI, Explainable AI (XAI), and AI ethics. • Conduct research and experiments to explore new applications of Generative AI in business contexts. • Provide technical expertise and guidance on Generative AI technologies and best practices. Qualifications: Master's or PhD in Computer Science, Artificial Intelligence, or a related field. Experience: • 4-7 years of experience in AI development, machine learning, and deep learning. • Proficiency in Python, TensorFlow, PyTorch, and Hugging Face Transformers. • Hands-on experience with Generative AI models like GPT, DALL-E, and Stable Diffusion. • Strong understanding of NLP, computer vision, and reinforcement learning. • Familiarity with cloud platforms like AWS, Azure, or GCP for AI deployment. • Excellent problem-solving and communication skills.

This job posting was last updated on 12/29/2025

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