Data Scientist Lead
1 day ago
We are seeking an experienced Data Scientist to lead our Generative AI Innovation Center in Amazon. As a key member of our team, you will be responsible for researching and developing cutting-edge generative AI algorithms to address real-world challenges.
With a strong background in machine learning and deep learning, you will collaborate with ML scientists and architects to design, develop, and evaluate innovative solutions. Your expertise will help us drive business impact and deliver best-in-class results.
Key Responsibilities- Develop and implement large-scale machine learning models using TensorFlow, Keras, PyTorch, and MXNet.
- Collaborate with customers to understand their business needs and provide guidance on adoption patterns and paths to production.
- Create and deliver technical tutorials, blog posts, and presentations to stakeholders.
Our team is dedicated to helping customers imagine and scope the use cases that will create the greatest value for their businesses. We select and train the right models, define paths to navigate technical or business challenges, and develop proof-of-concepts. Our goal is to make plans for launching solutions at scale and providing guidance on best practices for applying generative AI responsibly and cost-efficiently.
Requirements- Masters degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
- Relevant experience in building large-scale machine learning or deep learning models.
- Experience communicating across technical and non-technical audiences.
- Fluency in written and spoken English.
The estimated salary for this role is $170,000 - $200,000 per year, depending on location and experience.
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