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Lead Machine Learning Engineer

Apex Systems

This is a Contract position in Clark County, NV posted September 14, 2020.

Apex Systems Inc. in Las Vegas is looking for a Lead Machine Learning Engineer who is interested in taking on a new and exciting job If you have a desire to learn new processes, systems, and grow with this organization please send us your resume. We’re excited to tell you more about these new career opportunities Essential Job Functions. Will be designing the ML models, then training, testing, and running them. Will also need to operationalize the ML models for the data scientists to use. Use Python and Spark against Azure Data Lake stores, HadoopBig Data, Relational and NoSQL DBs. Requirements 6-7 years in a data engineering or data science related field 3-4 years of work experience developing machine learning models with Python ( its related data science libraries) and Spark Prior experience working with the end-to-end lifecycle of putting multiple machine learning models into production Experience with Azure ML Platform is a plus ADDITIONAL DETAILSPosition is currently remote until further notice, once manager wants people back onsite, people on this team can sit either in Las Vegas or the San Francisco Bay area EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or

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