Generative AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer on a 6-month remote contract at $50/hr. Requires an MS/PhD in Computer Science, 2+ years in generative AI, proficiency in Python, TensorFlow, and PyTorch, plus cloud and containerization experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
400
-
πŸ—“οΈ - Date discovered
September 10, 2025
πŸ•’ - Project duration
More than 6 months
-
🏝️ - Location type
Remote
-
πŸ“„ - Contract type
W2 Contractor
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #Scrum #Python #TensorFlow #Kubernetes #Cloud #ML (Machine Learning) #Docker #Deep Learning #Web Services #PyTorch #Libraries #Programming #Computer Science #RNN (Recurrent Neural Networks) #Agile #Neural Networks #Visualization #AI (Artificial Intelligence)
Role description
Job Title: GEN AI Developers Location: Remote Duration: 6 month contract with multiple extensions Rate: $50/hr. on W2 Job Description: 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 β€’ Develop and train generative AI models using techniques such as generative adversarial networks (GANs), variational autoencoders (VAEs), and recurrent neural networks (RNNs). β€’ Design and implement novel architecture and algorithms for generating high-quality content. β€’ Collaborate with cross-functional teams to integrate generative AI models into various applications, such as chatbots, virtual assistants, and content generation platforms. β€’ Conduct experiments and analyze results to optimize model performance and identify areas for improvement. β€’ Stay up to date with the latest developments in generative AI research and apply this knowledge to drive innovation and growth. Requirements: Skills and Qualifications β€’ MS or PhD in Computer Science, Machine Learning, or a related field. β€’ 2+ years of experience in developing and deploying generative AI models. β€’ Strong programming skills in languages such as Python, TensorFlow, or PyTorch. β€’ Experience with deep learning frameworks and libraries. β€’ Familiarity with cloud-based infrastructure and containerization technologies such as Docker or Kubernetes. β€’ Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Preferred Skillset β€’ Familiarity with data visualization tools and techniques. β€’ Knowledge of software development methodologies, such as Agile or Scrum. β€’ Experience with cloud-based services, such as Amazon Web Services (AWS).