Sr. Applied Scientist, AWS Support at Amazon Web Services

Key job 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.
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Analyze complex support case datasets and metrics to drive insight
• Design, build, and deploy effective and innovative ML solutions to optimize case routing
• Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
• Drive collaborative research and creative problem solving across science and software engineering team
• Propose and validate hypothesis to deliver and direct our product road map
• Work with engineers to deliver low latency model predictions to production

We are open to hiring candidates to work out of one of the following locations:
Cape Town, ZAF

BASIC QUALIFICATIONS

•  6+ years of building machine learning models or developing algorithms for business application experience
•  PhD, or Master's degree and 6+ years of applied research experience
•  Experience programming in Java, C++, Python or related language
•  Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

•  Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
•  Experience with large scale distributed systems such as Hadoop, Spark etc.