Develop and validate machine-learning models and training pipelines Implement model components, data pipelines, and evaluation systems Build reproducible programmatic workflows using Python and command-line tools Create and solve challenging machine-learning engineering tasks Optimize memory and throughput for existing machine learning systems Debug numerical or system-level failures in implemented models Verify that implementations meet correctness and performance specifications Requirements
Master's degree or PhD in a related quantitative discipline Strong professional or research experience in machine learning Practical proficiency with Python and coding agents Experience at a recognized technology company or research organization Ability to demonstrate depth with equivalent tools if necessary Exceptional open-source or academic experience is a plus Willingness to start tasks within 24 48 hours after onboarding
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Machine Learning Engineer | Remote in Winnipeg employer: Crossing Hurdles
Join a dynamic consulting firm that values innovation and leadership in the rapidly evolving AI landscape. With a flexible work schedule and competitive pay, we foster a collaborative culture that encourages professional growth and empowers our employees to make impactful contributions. Our remote work environment allows you to thrive while working alongside talented professionals dedicated to excellence in the Professional, Scientific, and Technical Services sector.
