

CloudIngest
GEN AI Developer (Certified Must) - 10+ Experience ( GANs,VAEs,RNNs)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GEN AI Developer with 10+ years of experience in GANs, VAEs, and RNNs. Contract length is unspecified, with a pay rate of $45/hr (W2) or $50/hr (C2C). Requires MS/PhD in Computer Science and strong programming skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
360
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🗓️ - Date
April 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Programming #Python #RNN (Recurrent Neural Networks) #Visualization #PyTorch #AI (Artificial Intelligence) #Scrum #Libraries #Docker #Cloud #TensorFlow #Computer Science #Deep Learning #Agile #ML (Machine Learning) #Neural Networks #Kubernetes
Role description
GEN AI Developer (certified preferred)-( GANs,VAEs,RNNs)
Rate: Max $45/Hr. (on W2) / $50/Hr. (on C2C)
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
GEN AI Developer (certified preferred)-( GANs,VAEs,RNNs)
Rate: Max $45/Hr. (on W2) / $50/Hr. (on C2C)
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






