Job Description: At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience are driven by machine learning. Amazon.com’s recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage. Job Responsibilities: Act as a technical liaison between customers and the AI services engineering teams to provide customer driven product improvement feedback. Thought Leadership – Evangelize AWS AI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. Develop and support an AWS internal community of AI related subject matter experts. Partner with SAs, Sales, Business Development and the AI Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for AI services such as Amazon Textract, Amazon Rekognition, Amazon Comprehend, Amazon Transcribe and the other AI services. Job Requirements: 3+ years of experience in technical sales and architecture design with focus on AI services for language / speech, bots, or text search. Background in any of the following: (1) Omnichannel Contact Centers (2) CRM solutions focused on Customer Experience (3) Contact Center Workforce Optimization/Management (4) Coding solutions for Contact Center / Customer Experience. 3+ years of experience with DevOps tools to build CI/CD pipelines and automation of cloud services deployment. Experience communicating effectively across internal and external organizations, for complex mission-critical solutions Technical degrees in computer science, software engineering, or math highly desired 3+ years of experience with machine learning and NLP algorithms, tools, and libraries as NLTK, Sckikit-learn, BERT, Transformers, pytorch, numpy, panda, SpaCy and others 3+ years of experience with streaming & batch services, API development, NoSQL databases, and Serverless technologies. 3+ Experience working with RESTful API and general service-oriented architectures. 3+ years professional experience in software development in languages like Python, Java, or Scala. Experience in working with Data Engineering and Data Science teams Job Details: Company: Amazon Vacancy Type: Full Time Job Location: San Francisco, CA, USA Application Deadline: N/A Apply Here careers-trivia.net
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