Senior Data Scientist(GenAI)

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Requirements:

• 5+ years of experience working as a GenAI Data Science.
• Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
• Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
• Experience with Bedrock, JumpStart, HuggingFace
• Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
• Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
• Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)
• Experience developing models from inception to deployment

Responsibilities:

• Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
• Experiment, evaluate, and create generative AI products for a variety of tasks, such as extracting data, summarizing documents, and other generative model applications.
• Use fine tuning and advanced knowledge retrieval methods to improve the performance of generative AI models on specific tasks
• Evaluate the performance of models and make necessary improvements
• Collaborate with other scientists, data engineers, machine learning operations engineers, prompt engineers, and product owners to develop generative AI products
• Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources.
• Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements

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