Principal Data Scientist

Job description

DESCRIPTION

Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL tools on Amazon Web Service (AWS)? Come join us!

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, 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 our drone initiative, 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.
Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: Frameworks and Infrastructure with tools like Apache MXNet and TensorFlow, API-driven Services like Amazon Lex, Amazon Polly and Amazon Rekognition to quickly add intelligence to applications, and Machine Learning Platforms such as Amazon SageMaker, Amazon Machine Learning and Apache Spark ML on EMR for data scientists.

AWS is looking for a Principal Data Scientist in the Asia-Pacific Region, who will be the Lead Subject Matter Expert (SME) for helping customers design machine learning solutions that leverage the AI stack on AWS. You will partner with Solution Architects, Sales, Business Development and the AI Service teams to enable customer adoption and revenue attainment. You will develop white papers, blogs, reference implementations, labs, and presentations to evangelize AWS AI design patters and best practices. You will also mentor and train the broader technical population of AWS in APAC, to help them understand how to integrate the AI stack into customer architectures.

Responsibilities:
· Work with customer’s AI/Data/Data Science team to deeply understand their business and technical needs and design AI solutions that make the best use of the AWS Cloud platform and AI Services.
· Help scope and formulate AI projects and POCs.
· Deliver deep-dive workshops and AI POCs for APAC customers.
· Thought Leadership – Evangelize AWS Services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
· Partner with Solutions Architects, Sales, Business Development and the AI Service teams to accelerate customer adoption and revenue attainment.
· Act as a technical liaison between customers and the service engineering teams and providing produce improvement feedback.
· Develop and support an AWS internal community of AI related subject matter experts.

Desired profile

BASIC QUALIFICATIONS

· Deep understanding and experience in the field of AI, Machine Learning, Deep Learning and related technologies.
· Deep experience developing AI models in real-world environments and integrating AI/ML and other AWS services into large-scale production applications.
· Masters or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics or related technical discipline. Hands-on experience and project based learning in computer science, engineering or mathematics is preferred.
· 3+ years design/implementation/consulting experience training Machine Learning models and deploying scoring pipelines at scale.
· 3+ years professional experience in software development in languages like Java, Python, Scala. Experience working with RESTful API and general service oriented architectures.
· A talent for being able to influence and build mindshare convincingly with any audience.
· Confident and experienced in public speaking to large audiences.
· Open to international travel up to 30%