At a Glance
- Tasks: Build reliable ML infrastructure and enhance workflow efficiencies for top-tier clients.
- Company: ShyftLabs, a forward-thinking tech company with a focus on innovation.
- Benefits: Fully remote work options, competitive salary, and opportunities for professional growth.
- Other info: Flexible hybrid options available in Toronto, fostering a collaborative environment.
- Why this job: Join a dynamic team and drive innovation in Machine Learning solutions.
- Qualifications: 3+ years in software development and hands-on ML experience required.
The predicted salary is between 123750 - 151250 $ per year.
Take your career to the next level as a Senior ML-Ops Engineer at Shyft Labs. Focus on building reliable Machine Learning infrastructure for high-profile enterprise clients.
Shyft Labs is on the lookout for a Senior ML-Ops Engineer with extensive experience in Machine Learning and software development practices.
In this role, you will engage with various teams to enhance workflow efficiencies and product delivery timelines.
This position is fully remote within Canada, with hybrid options available in Toronto.
Key
Responsibilities
- Develop and implement scalable ML systems
- Produce and maintain production-quality code
- Collaborate with cross-functional teams for ML projects
- Build abstractions to support data scientists' needs
- Ensure effective lifecycle management of ML applications
Requirements
- Advanced degree in Computer Science or related discipline preferred
- 3+ years of software development experience in Python
- 3+ years of hands-on Machine Learning application
- Knowledge of big data technologies such as Hadoop
- Proficiency with ML-Ops tools including MLFlow and DVC
Drive innovation in Machine Learning at Shyft Labs, enhancing system reliability and delivering impactful solutions. #J-18808-Ljbffr
Senior ML-Ops Engineer in Toronto employer: ShyftLabs
ShyftLabs is an exceptional employer that fosters a collaborative and innovative work culture, allowing Senior ML-Ops Engineers to thrive in a fully remote environment across Canada. With a strong emphasis on employee growth, ShyftLabs offers opportunities to engage with high-profile enterprise clients while developing cutting-edge Machine Learning infrastructure. The company values work-life balance and provides hybrid options in Toronto, making it an attractive place for professionals seeking meaningful and rewarding careers.
