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Key job responsibilities
• Drive software engineering best practice while designing the world's foremost distributed and scalable systems.
• Develop and deploy edge-to-cloud software framework for computer vision processing
• Design and develop innovative REST APIs and SDKs to deliver computer vision and machine learning capabilities
• Be responsible for the architecture of software solutions, determining current limitations and compatibility between subsystems, the selection of new concepts and methodology, and the development of major routines and utilities.
• Instill best practices for software development and documentation, making sure designs meet requirements, and delivering high quality software on tight schedules.A day in the life
Sr. Applied Scientists within DST own the design, architecture, maintenance of Machine Learning models supporting initiatives related to computer vision applications at a network level. You will interact with other scientists on the team but to scale solutions you will travel to sites, interact with Field RME, Ops leadership, as well as other technical teams such as Amazon Fulfillment Technologies.
- 3+ years of building machine learning models 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
- 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.
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