What are the responsibilities and job description for the Applied Scientist, Synapse, Mid-Level position at Jobright.ai?
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Job Summary:
Amazon Web Services (AWS) is seeking an Applied Scientist to help build a world-class support assistant experience utilizing Artificial Intelligence. The role involves leading projects that leverage machine learning techniques to create scalable solutions and deliver production systems at AWS scale.
Responsibilities:
• Deliver real world production systems at AWS scale.
• Work closely with the business to understand the problem space, identify the opportunities and formulate the problems.
• Use machine learning, data mining, statistical techniques, Generative AI and others to create actionable, meaningful, and scalable solutions for the business problems.
• Analyze and extract relevant information from large amounts of data and derive useful insights.
• Work with software engineering teams to deliver production systems with your ML models
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Qualifications:
Required:
• PhD, or Master's degree and 4 years of CS, CE, ML or related field experience
• 3 years of building models for business application experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C , Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred:
• Experience using Unix/Linux
• Experience in professional software development
Company:
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001 employees. The company is currently Public Company. Amazon has a track record of offering H1B sponsorships.
