Amazon
Are you ready to be at the forefront of Machine Learning and AI?
Join our team at the Generative AI Innovation Center where you'll leverage cutting-edge Generative AI algorithms to tackle real-world challenges that have a significant impact. As a key player, you'll work alongside a diverse team of strategists, scientists, engineers, and architects, helping customers unlock unprecedented business opportunities. The Generative AI Innovation Center focuses on assisting AWS customers in implementing bespoke Generative AI solutions. Your role will involve: Collaborating with AI/ML scientists and architects to design, develop, and evaluate innovative generative AI solutions that address practical challenges. Engaging directly with customers to understand their unique business problems and guiding them in the adoption of generative AI strategies. Creating and sharing best practice recommendations, tutorials, surveys, and presentations tailored for technical and business audiences. Providing valuable feedback to product and engineering teams to influence product direction based on customer and market insights. About AWS:
At Amazon Web Services, we value diverse experiences. We encourage candidates from various backgrounds to apply, regardless of whether they meet every single qualification. Why join AWS?
Our innovative spirit has made AWS the world’s most comprehensive and broadly adopted cloud platform. We prioritize work-life harmony and inclusivity, believing that a supportive workplace leads to exceptional achievement. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. 5+ years experience in designing, building, and/or operating cloud solutions in a production environment. 4+ years hosting and deploying ML solutions. 4+ years hands-on experience with Python for model development. 4+ years client engagement experience. Preferred Qualifications: Masters or PhD in Computer Science or related field. 3+ years working with deep learning, machine learning, or generative AI. Experience building Generative AI applications on AWS using services like Amazon Bedrock and Amazon SageMaker. Effective communication skills for both technical and non-technical audiences. Experience developing cloud solutions with AWS. Please note, we ensure a fair chance for all applicants, including those with arrest and conviction records, in accordance with local ordinances. If you're passionate about AI and ready to make a difference, we want to hear from you!
Join our team at the Generative AI Innovation Center where you'll leverage cutting-edge Generative AI algorithms to tackle real-world challenges that have a significant impact. As a key player, you'll work alongside a diverse team of strategists, scientists, engineers, and architects, helping customers unlock unprecedented business opportunities. The Generative AI Innovation Center focuses on assisting AWS customers in implementing bespoke Generative AI solutions. Your role will involve: Collaborating with AI/ML scientists and architects to design, develop, and evaluate innovative generative AI solutions that address practical challenges. Engaging directly with customers to understand their unique business problems and guiding them in the adoption of generative AI strategies. Creating and sharing best practice recommendations, tutorials, surveys, and presentations tailored for technical and business audiences. Providing valuable feedback to product and engineering teams to influence product direction based on customer and market insights. About AWS:
At Amazon Web Services, we value diverse experiences. We encourage candidates from various backgrounds to apply, regardless of whether they meet every single qualification. Why join AWS?
Our innovative spirit has made AWS the world’s most comprehensive and broadly adopted cloud platform. We prioritize work-life harmony and inclusivity, believing that a supportive workplace leads to exceptional achievement. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. 5+ years experience in designing, building, and/or operating cloud solutions in a production environment. 4+ years hosting and deploying ML solutions. 4+ years hands-on experience with Python for model development. 4+ years client engagement experience. Preferred Qualifications: Masters or PhD in Computer Science or related field. 3+ years working with deep learning, machine learning, or generative AI. Experience building Generative AI applications on AWS using services like Amazon Bedrock and Amazon SageMaker. Effective communication skills for both technical and non-technical audiences. Experience developing cloud solutions with AWS. Please note, we ensure a fair chance for all applicants, including those with arrest and conviction records, in accordance with local ordinances. If you're passionate about AI and ready to make a difference, we want to hear from you!