Senior Data Scientist for Machine Learning and Natural Language Processing
hace 2 días
AWS provides a wide range of product innovations, including foundational services such as Amazon S3 and EC2, as well as new product releases that set the company apart in the industry. As part of the UC organization, you'll support the development and management of Compute, Database, Storage, IoT, Platform, and Productivity Apps services in AWS, including security solutions for customers.
Machine Learning Engineer Responsibilities:
- Understand business objectives and develop ML algorithms to achieve them
- Build prototypes and POCs to determine feasibility
- Run experiments to assess performance and improvements
- Provide ideas and alternatives to drive product/feature development
- Define data and feature validation strategies
- Deploy models to production systems and operate them, including monitoring and troubleshooting
Basic Qualifications:
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture experience (design patterns, reliability, and scaling)
- Experience programming with at least one software programming language
Salary: $180,000 - $250,000 per year
Job Description: As a Machine Learning Engineer, you will work on projects that have a high impact on our customers, using machine learning to solve real-life problems and enable data-driven decisions. You will envision solutions to help customers understand how QuickSight answers their questions and create new avenues for further exploration of their data. The opportunities are endless.
Amazon QuickSight Overview: Amazon QuickSight is a fast, cloud-powered Business Intelligence service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. We are revolutionizing Business Intelligence by empowering anyone to use the power of machine learning and Amazon AI to enhance their understanding of data.
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