Senior Machine Learning Engineer / Python

Employer
Request Technology, LLC
Location
Mclean, VA
Posted
Jun 24, 2019
Closes
Jun 26, 2019
Ref
170804672
Hours
Full Time
We are unable to sponsor for this permanent full-time role Prestigious Enterprise Company is currently seeking a Sr. Machine Learning Engineer with Python skills to develop production systems that involve data science, data engineering and machine learning. Candidate will partner with data scientists to develop high throughput systems to make models, data, and analytics available for business use. Candidate will have an analytical mindset and be passionate about software engineering. This role combines strong software development, quantitative analysis, and collaboration skills to help build high-performance, scalable and fault tolerant solutions. Responsibilities Design, develop and support production systems, which typically contain a models developed by a team of data scientists. Our existing systems are written in Python, however, we choose the right technologies for each system, so candidates need to be able to quickly learn new languages and libraries. Design and develop new code, implement automated testing to ensure standard technology development practices are met Work side-by-side with data science and machine learning experts to solve their technical challenges, for example o Implement new machine learning techniques that are not provided by an existing library o Optimize code written by data scientists to reduce run-time and memory usage Peer review code and automated tests, help team members with design and implementation challenges Clearly craft and articulate messages (both written and verbal) to a variety of audiences Actively seek opportunities to continuously improve the technical quality and architecture to respond to business needs Qualifications At least 5 years of experience developing in Python or Java BS in Computer Science or equivalent experience Experience with building production web services Experience working with numericalquantitative systems, eg, pandas, NumPy, SciPy and Apache Spark Experience writing automated unit, integration, regression, performance and acceptance tests Solid understanding of software design principles Preferred Skills Familiarity with linear algebra, regression analysis and machine learning techniques Experience with cloud computing and storage services Experience with C or C++ Strong quantitative skills (statistics, econometrics, linear AI)

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