The Enterprise Architecture team
within the Nielsen Watch business is looking for a hands-on Machine and Deep
Learning Engineer who is passionate about the new technologies and tools, is
able to learn cutting edge technologies quickly, apply them to our Watch
business and come up with innovative solutions. The candidate must have
experience modeling and creating predictive algorithms, working with neural
networks and experience with
deep learning open source software libraries
Theano, or Torch
Experience in a development
language such as Java, Scala, Python, or C++ is necessary. He or she must also have a strong
understanding of Cloud/Big Data/Machine Learning from disparate sources and
analytics. Must have experience working
with data to scale.
Define a robust application design and architecture for building new applications in the Nielsen Watch business, leveraging and enhancing existing building blocks or creating new reusable components.
Build early prototypes of product components and validate them for technical design and performance.
Understand the long-term business objectives and suggest technical strategies to meet those objectives by introducing innovation through technology.
Partner with others inside and outside the engineering organization to gather all requirements to formulate appropriate architecture required to provide system functionality, deciding when to advocate and when to compromise to arrive at a mutually acceptable solution.
Work closely with product management, engineering, QA throughout the organization.
Experience applying machine learning approaches such as deep convolutional neural networks and/or recursive neural networks
Hands-on experience with AWS Cloud Computing Platform
Experience with Python, Java, C/C++ or other related languages
5+ years’ experience in hands-on development, application design in the delivery of software products
2+ years in a machine or deep learning type role in previous large scale software development projects, preferably SaaS delivery model
Thorough understanding of relational database design, OLAP and good understanding of NoSQL DB (such as MongoDB, Cassandra)
Excellent knowledge of software development methodologies and processes
Track record that includes the design and release of high quality, high performance enterprise software product/application
Highly motivated with the ability to work on a multiple projects simultaneously
Four-year college degree or equivalent experience relevant to the job. Advanced degree (e.g. Masters in Computer Science) is preferred but not required
Desirable Skills and Experience:
Experience in developing software systems which employ data mining, machine learning or statistical techniques, methods and algorithms;
Dealing with large data sets and developing analytic software using SQL, NoSQL and statistical tools.
Deep understanding in Data warehouse architecture and associated technologies.
Agile development methodology
Technology & Engineering
North America-US-FL-Tampa Bay
North America-US-CA-San Francisco, North America-US-TX-Dallas, North America-US-Remote, North America-US-CO-Denver, North America-US-IL-Chicago
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