Deep Learning Solutions Architect
2 weeks ago
The role of Senior Deep Learning Architect at Amazon involves working with customers to implement Generative AI solutions and realize transformational business opportunities. The ideal candidate will have experience in designing, developing, and evaluating innovative ML models to solve diverse challenges across industries. Strong communication skills are essential for conveying rigorous mathematical concepts and considerations to non-experts.
Key Responsibilities:
- Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries.
- Interact with customer directly to understand their business problems, and lead them by prescriptively defining and implementing scalable Generative AI solutions to solve them.
- Work closely with account teams, research scientist teams, and product engineering teams to design architectures and applications, drive model implementations, and guide new solution deployment.
Requirements:
The successful candidate will hold a Bachelor's degree in computer science, engineering, mathematics or equivalent, with 4+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience. A strong working knowledge of deep learning, machine learning, and statistics is also required. Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2 is highly desirable.
The salary range for this position is estimated to be between $138,200/year and $239,000/year based on location. Amazon offers a comprehensive benefits package, including medical, financial, and other perks.
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