Gen AI
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Position Title: Gen AI
Location: Dallas, TX and El Segundo, CA (Hybrid)
Duration: 12+ months with possible of extension
Job description:
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 novel 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, TensorFlow, or PyTorch * 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
Location: Dallas, TX and El Segundo, CA (Hybrid)
Duration: 12+ months with possible of extension
Job description:
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 novel 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, TensorFlow, or PyTorch * 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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