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Machine Learning Engineer

MobSquad
CompanyMobSquad
CategoryEngineering
LocationCanada
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted2 Jun 2020
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
ABOUT MOBSQUAD We are a well-funded, hyper-growth, company looking for an experienced Machine Learning Engineer.  If you’ve ever dreamed of working with a top tier technology company backed by the very best venture capitalists in the world, then this is your chance.  Some details about MobSquad: MobSquad provides top-tier technical and consulting services to clients across North America.  MobSquad works with leading clients across many industries such as fintech, health tech, and cyber security, and employs the world's best technology professionals including software engineers, data scientists, machine learning and AI engineers, and cyber security experts. We are a Certified B corporation, and have made numerous contributions to charitable organizations, as well as a financial commitment to the Upside Foundation.  We believe we are playing a key role in enhancing Canada’s innovation economy, and have received support from the Government of Canada, Province of Alberta, Province of Nova Scotia, and City of Calgary, to support this ambition. For our workplace culture, we were recognized as the 14th best place to work in Canada (for a small company) in 2024, and have been awarded specifically for being one of the best workplaces nationally for: inclusion; mental wellness; giving back; youth; and technology.  We were also recognized as one of Canada's Best Start-Up Employers by Forbes. For our innovative business model, we have been featured in numerous media outlets including: The New York Times; The Washington Post; The Wall Street Journal; The Economist; NPR; Bloomberg; The Financial Times; Harvard Business Review; Asian Pacific Post; BetaKit; CBC; Global News; Gothamist; International Business Times; MIT Technology Review; Nikkei Asian Review; The Economic Times of India; The Globe and Mail; and The Information . You can learn more about us on our website . ABOUT THE ROLE As a Machine Learning Engineer, you will be part of our Canada-based team providing technical services to MobSquad's clients.  Your team will operate alongside many other talented developers and data scientists in Canada, and you will be an integral part of the tech community that MobSquad has built.  This role requires someone who has demonstrated an ability to use data to train models which can be used to automate processes such as image classification, speech recognition, and forecasting.  The ideal candidate has deployed or attempted to execute Artificial Intelligence theories from various Machine Learning (ML) models and algorithms, and they also have familiarity with data science engineering.  The candidate should be able to apply their analytical skills to develop large-scale ML models that reveal the value in data.  They are able to understand business objectives from a broader team and build customized models and processes to enable delivery of the business objectives. ABOUT YOU You have an advanced degree (M.S. or PhD) in Computer Science, Engineering, Mathematics, Physics, or a comparable analytical field from an accredited institution You have over five years of experience working with deep learning frameworks (TensorFlow, Keras) You have over five years of experience with relevant languages (Python, Java) and libraries (scikit-learn, Pandas) You have over five years of experience developing unique algorithms You have strong experience creating and deploying machine learning models You have demonstrated knowledge of relevant libraries and operating systems (OpenCV, Linux) You have knowledge of SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra, HBase) databases  You have strong attention to detail, translating to strength in data quality verification to enable clean data at all times You have work/project history reflective of a self-motivated professional who excels when given open-ended problems and broadly-defined goals, ha
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