Generative AI Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Data Scientist with a 6-month contract, offering a pay rate of "$XX/hour." Remote work is available. Key skills include Python, PyTorch, TensorFlow, and experience in generative AI model development. A Bachelor's or Master's degree is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 21, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Python #Data Science #Deep Learning #Computer Science #Generative Models #API (Application Programming Interface) #TensorFlow #Scala #Programming #NLP (Natural Language Processing) #PyTorch #AI (Artificial Intelligence) #Datasets
Role description
Job Title: Generative AI Engineer/Sr. Data Scientist Job Summary: We are seeking a highly skilled and experienced Generative AI Engineer to join our team. The ideal candidate will have a deep understanding of language models, text-to-image, and other generative AI models. They must possess advanced knowledge of PyTorch, and the Tensorflow GPU API. They should have experience publishing research and be able to demonstrate their expertise in the field. Responsibilities: β€’ Develop and implement generative AI models, including LLMs and text-to-image models, using PyTorch and TensorFlow. β€’ Design and optimize neural network architectures for scalability and performance. β€’ Train and evaluate models using large datasets. β€’ Troubleshoot and debug code to ensure high-quality results. β€’ Keep up-to-date with the latest developments in the field of generative AI and apply them to our projects. β€’ Collaborate with other engineers and researchers to develop innovative solutions. β€’ Deep understanding of how to scale generative models and their limitations β€’ Ability to quickly identify opportunities for model improvement β€’ Deep understanding of Nvidia CUDA parallel programming Requirements: β€’ Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. β€’ 3+ years of experience in developing generative AI models. β€’ Strong programming skills in Python and experience with PyTorch, TensorFlow, and the Tensorflow GPU API. β€’ Knowledge of state-of-the-art generative AI models such as GPT-3, DALL-E, and CLIP. β€’ Experience with training and evaluating large-scale models on high-performance computing clusters. β€’ Strong understanding of deep learning, natural language processing, and computer vision. β€’ Excellent problem-solving skills and ability to work independently and in a team environment. β€’ Experience publishing research in top-tier conferences and journals is highly desirable. β€’ Published research findings in top-tier conferences and journals. Preferred Qualifications: β€’ Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field. β€’ Demonstrated experience in developing generative AI models and publishing research in top-tier conferences and journals. β€’ Strong knowledge of deep learning, natural language processing, and computer vision. β€’ Experience with scaling up generative models and deploying them in production environments. β€’ Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders. Note: Although a Bachelor's degree with extensive experience in the field will also be considered, a preference will be given to candidates with a higher degree in the related field.