ML solutions, ensuring seamless production integration and measurable impact on business metrics. Continuously enhance model performance through retraining, parameter tuning, and architecture improvements using Amazon's extensive data resources. Lead initiatives, mentor junior scientists and engineers, and promote the adoption of ML methodologies across teams. Stay abreast of advancements … or journals - 3+ years of hands-on predictive modeling and large data analysis experience - Experience working with large-scale distributed systems such as Spark, Sagemaker or similar frameworks Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate More ❯
here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it's always "Day 1". About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of … career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's … business development - Extensive Domain knowledge of AI from a business level perspective - Bachelor's degree PREFERRED QUALIFICATIONS - Experience with AWS AI/ML services (SageMaker, Bedrock, CodeWhisperer, etc.) - Entrepreneruship/startup experience - Experience speaking at conferences and events - Experience in consulting or working for large, complex organisations AmazonMore ❯
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive … and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. … tackle a huge new problem space. You'll be an integral part of testing the app built by services that leverage AWS technologies like SageMaker, Forecast, Athena, QuickSight, Glue, Bedrock, ML and more. As a QA member of the team, you'll wear many hats. You'll help design More ❯
