Saskatoon, SK, S7K 3H5, CAN
22 hours ago
Data Scientist
Job Description Insight Global is looking for a Data Scientist for one of our top clients. This is a 6 month contract, with a high likelihood of extensions. A successful candidate must be located in Saskatoon and OK to go into the office 5 days a week, with site visits approximately once a month. A successful candidate will play a key role in the development and deployment of AI/ML-driven solutions for operational technology (OT) and information technology (IT) systems, with a focus on enhancing automation, predictive analytics, and digital transformation initiatives We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements Proficiency in the development of high-throughput intelligent visual analytics systems, including: o Training & Implementation of state-of-the-art machine-learning models including detection of anomalies and extraction of features within monitored industrial processes (e.g. Belt conveyors, continuous miners, loadout equipment) o Development of low-latency frame-decoding, processing, and ML inference utilizing highly efficient on-GPU pipelines (gstreamer, deepstream) o Ability to identify, communicate, and correct CV system inefficiencies using trace tools such as Nvidia Nsight. o Expertise with a broad array of CV & ML toolsets including Pytorch, accelerated OpenCV, CUDA, Gstreamer, Deepstream and supporting libraries such as CuPy. Deep technical proficiency with Python, the Unix OS ecosystem, containerization, virtualization, and familiarity with C++ and memory management: o Expertise in Python concurrency, efficient use of threading and subprocesses, and an understanding of the GIL and its limitations. o Expertise developing in a Unix OS environment, comfortability working primarily with CLI tools, bootstrapping and maintaining software environments, compilation of open source software from source, Unix system automation, building and managing containers, etc. o Understanding of C++ and low-level concepts such as memory management, efficient use of system IO (especially CPU & GPU synchronization), understanding of OS level process management, scheduling, concurrency, etc. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
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