Eligibility checked
Broad eligibilityCompany-site apply Jul 14
Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
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CI/CD roles open to Canada.
Browse remote CI/CD roles that accept candidates based in Canada.
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Remote CI/CD jobs in Canada with clear eligibility
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Current search8 CI/CD roles · Location: Canada
Senior Machine Learning Engineer- Fully Remote!
KinderCare Education, LLC
Eligibility checked
10 accepted countriesCompany-site apply Jul 11
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
Eligibility checked
Broad eligibilityCompany-site apply Jul 7
Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics
Data Engineer
Athos Commerce · Data Science
Eligibility checked
Broad eligibilityCompany-site apply Jul 6
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
Eligibility checked
2 accepted countriesCompany-site apply Jul 5
Design and maintain self-service tooling, templates, and scaffolding that allow engineers to provision and deploy serverless resources independently.
Eligibility checked
8 accepted countriesCompany-site apply Jul 4
Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
Staff Data Engineer
Fora Financial · Data Science
Eligibility checked
6 accepted countriesCompany-site apply Jul 2
Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.
Data Engineer
OneSix · Data Science
Eligibility checked
9 accepted countriesCompany-site apply Jul 2
Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.
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