Overview
On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Skills
SANS
Research and Development
Research Design
Art
Use Cases
Evaluation
Innovation
Modeling
Artificial Intelligence
Research
Algorithms
Mentorship
Collaboration
Machine Learning (ML)
Documentation
Generative Artificial Intelligence (AI)
Training
Job Details
A Senior Data Scientist specializing in Generative AI plays a crucial role in developing advanced artificial intelligence models that can create new, synthetic data or content. This role requires expertise in generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other techniques for content generation. Here's a job description for a Senior Data Scientist focused on Generative AI:
Job Title: Senior Data Scientist - Generative AI
Job Overview: As a Senior Data Scientist specializing in Generative AI, you will lead and contribute to the development of cutting-edge generative models to create synthetic data, images, text, or other content. You will work on research and development projects, collaborating with cross-functional teams to advance the state of the art in generative modeling and drive innovative solutions in content generation.
Responsibilities:
1. Generative Model Development:
Research, design, develop, and implement advanced generative models, including GANs, VAEs, and other state-of-the-art techniques.
Optimize and fine-tune generative models for high-quality content generation.
2. Data Synthesis:
Generate synthetic data or content for various use cases, such as image synthesis, text generation, or data augmentation.
Ensure the generated content aligns with specific project objectives and quality standards.
3. Model Training and Evaluation:
Train generative models on diverse datasets and evaluate their performance using appropriate metrics.
Implement strategies for improving the quality and diversity of generated content.
4. Transfer Learning:
Explore and leverage pre-trained generative models for transfer learning and fine-tuning.
Adapt existing models to specific tasks or domains.
5. Ethical Considerations:
Ensure ethical usage of generative AI, including avoiding misuse, ensuring fairness, transparency, and addressing bias.
6. Innovation and Research:
Stay informed about the latest advancements in generative modeling and AI research.
Contribute to the development of innovative solutions and algorithms.
7. Mentorship and Collaboration:
Provide guidance and mentorship to junior data scientists or researchers.
Collaborate with cross-functional teams, including machine learning engineers, data engineers, and domain experts.
8. Documentation:
Maintain comprehensive documentation of generative AI projects, models, training processes, and results.
Job Title: Senior Data Scientist - Generative AI
Job Overview: As a Senior Data Scientist specializing in Generative AI, you will lead and contribute to the development of cutting-edge generative models to create synthetic data, images, text, or other content. You will work on research and development projects, collaborating with cross-functional teams to advance the state of the art in generative modeling and drive innovative solutions in content generation.
Responsibilities:
1. Generative Model Development:
Research, design, develop, and implement advanced generative models, including GANs, VAEs, and other state-of-the-art techniques.
Optimize and fine-tune generative models for high-quality content generation.
2. Data Synthesis:
Generate synthetic data or content for various use cases, such as image synthesis, text generation, or data augmentation.
Ensure the generated content aligns with specific project objectives and quality standards.
3. Model Training and Evaluation:
Train generative models on diverse datasets and evaluate their performance using appropriate metrics.
Implement strategies for improving the quality and diversity of generated content.
4. Transfer Learning:
Explore and leverage pre-trained generative models for transfer learning and fine-tuning.
Adapt existing models to specific tasks or domains.
5. Ethical Considerations:
Ensure ethical usage of generative AI, including avoiding misuse, ensuring fairness, transparency, and addressing bias.
6. Innovation and Research:
Stay informed about the latest advancements in generative modeling and AI research.
Contribute to the development of innovative solutions and algorithms.
7. Mentorship and Collaboration:
Provide guidance and mentorship to junior data scientists or researchers.
Collaborate with cross-functional teams, including machine learning engineers, data engineers, and domain experts.
8. Documentation:
Maintain comprehensive documentation of generative AI projects, models, training processes, and results.
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.