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4 weeks ago
The Senior Machine Learning Engineer at Xtract One is a seasoned professional with a proven track record of delivering complex machine learning solutions in production environments. This role involves leading end-to-end machine learning projects deployed on reliable edge computing systems, and providing technical guidance, evaluating and adopting new tools and frameworks, collaborating with stakeholders to align machine learning solutions and business goals.
Key Responsibilities:- Drive the ML development lifecycle, utilizing expertise to design a reliable data pipeline, code, test, debug, and deploy advanced and scalable machine learning and data solutions.
- Develop edge services and APIs that are optimized for performance and security.
- Write high-quality, reusable, and maintainable code using Python and other relevant programming languages.
- Define and enforce machine learning architectures and design standards.
- Ensure developer, deployment and user quality stories are first-class citizens in our software.
- Take ownership of product-related components and help drive them to production.
- Work in agile development methodologies with a multidisciplinary team.
- Establish and enforce best practices in data reliability, ML development, code quality, and testing.
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science or a related field.
- 8+ years experience in a software engineering, machine learning engineering or a similar role using Python and other relevant programming languages.
- Excellent understanding of software development best practices such as version control, agile, code reviews, and automated testing.
- Extensive experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or onnx.
- Experience with database systems (SQL or NoSQL).
- Deep knowledge of version control systems and software design principles.
- Track record of successfully delivering complex and scalable machine learning solutions.
- Opportunity to work on challenging projects and make a real impact on the Company's success.
- Collaborative and inclusive work environment that values diversity.
- The job location for this hybrid position is in downtown Toronto.
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