- Design and implement cloud solutions, build MLOps on cloud (Azure)
- Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
- Proficient in MLFlow and model serving and monitoring on Databricks
- Machine learning model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
- ML models testing, validation and tests automation
- Communicate with a team of data scientists, ML engineers, data engineers and architect, document the processes
- Bachelor's Degree
- 3+ years of relevant experience on Databricks
- Paid Time Off
- Comprehensive benefits plan
- Company RRSP Match
- Development opportunities through the LinkedIn Learning platform
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ML Ops Engineer - Toronto, Canada - Guidepoint
Description
:Guidepoint's Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.
Guidepoint seeks an experienced ML Ops Engineer as an integral member of the Toronto-based Data/AI team. The Toronto Technology Hub will serve as the base of our new Data/AI team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint's vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint's Next-Gen research enablement platform and data products.
What You'll Do:
What You Have:
What We Offer:
About Guidepoint:
Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients' decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.
Backed by a network of nearly 1.5 million experts and Guidepoint's 1,300 employees worldwide, we inform leading organizations' research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.
At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.
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