GEN AI Developer
Job in
Dallas, Dallas County, Texas, 75201, USA
Listed on 2026-08-05
Listing for:
Damco
Full Time
position Listed on 2026-08-05
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Generative AI Specialist
As a Generative AI Specialist, you will be responsible for designing, developing, and deploying generative AI models that can generate high-quality, coherent, and engaging content. You will work closely with our client and development team to identify new opportunities for AI-powered innovation and develop proof-of-concept models that demonstrate the potential of generative AI.
Key Responsibilities:
- Develop and train generative AI models using techniques such as generative adversarial networks (GANs), variational autoencoders (VAEs), and recurrent neural networks (RNNs)
- Design and implement client architectures and algorithms for generating high-quality content
- Collaborate with cross-functional teams to integrate generative AI models into various applications, such as chatbots, virtual assistants, and content generation platforms
- Conduct experiments and analyze results to optimize model performance and identify areas for improvement
- Stay up-to-date with the latest developments in generative AI research and apply this knowledge to drive innovation and growth
Requirements:
- MS or PhD in Computer Science, Machine Learning, or related field
- 2+ years of experience in developing and deploying generative AI models
- Strong programming skills in languages such as Python, Tensor Flow, or Py Torch
- Experience with deep learning frameworks and libraries
- Familiarity with cloud-based infrastructure and containerization technologies, such as Docker or Kubernetes
- Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment
Nice to Have:
- Familiarity with data visualization tools and techniques
- Knowledge of software development methodologies, such as Agile or Scrum
- Experience with cloud-based services, such as Amazon
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