We interpreted Canada to be all of Canada.
- McAfee, Inc. (Waterloo, ON)
- …a skilled ML Data Engineer to join our Consumer ML team, specializing in creating robust feature engineering ETL pipelines tailored for machine ... & Data Integration: Develop and maintain end-to-end ML feature engineering pipelines using Databricks, ensuring... data catalogue + You are a detail-oriented ML Data Engineer passionate about… more
- Autodesk (Toronto, ON)
- …3+ years of experience as a Data Engineer working on large-scale data infrastructure, preferably in ML or AI environments + Proficiency in Python and ... 25WD88438 **Position Overview** Autodesk is seeking a skilled Sr. Data Engineer to join our Machine Learning...with ML Ops teams + Familiarity with ML concepts (eg, feature stores, model inputs/outputs,… more
- FuseMachines (Toronto, ON)
- …and dynamic work environment. Responsibilities + Drive end-to-end lifecycle management of AI/ ML projects from concept and data acquisition to prototyping, model ... deep learning, and reinforcement learning techniques. + Develop and deploy robust feature engineering pipelines and ML services optimized for low latency… more
- Amazon (Calgary, AB)
- …building ML pipelines with best MLOps practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed ... les sites des clients, le cas echeant. * Lead end-to-end machine learning ( ML /AI) projects, from understanding business needs to data preparation, model… more
- Four Eyes Financial (Saint-John, NB)
- …to the development of the Four Eyes Intelligent Compliance Platform, applying AI/ ML solutions to real-world data problems, and collaborate cross-functionally in ... AI Engineer Four Eyes Financial is uniquely positioned to...to support AI model training and inference. + Ensure data integrity through preprocessing, feature engineering, and… more
- DoorDash (Toronto, ON)
- …logistics engine for last-mile delivery! We're seeking an experienced machine learning engineer to develop cutting-edge ML models that power DoorDash's pricing, ... robust data and machine learning infrastructure to build sophisticated ML systems that implement innovative AI solutions for consumer pricing, restaurant… more
- Manulife (Toronto, ON)
- …in cloud-native architecture, preferably using the Azure stack, with skills in Azure ML , Databricks (Spark), and Azure Data Factory as valuable assets. + ... **The Opportunity** The Machine Learning Engineer will join the Group Advanced Analytics team,...be an advanced programmer with a strong grasp of Data Science, Data Engineering, application development, software… more
- Manulife (Toronto, ON)
- …with cloud native architecture (PaaS) using Azure stack preferably and experience with Azure ML , DataBricks (Spark), Azure Data Factory will be an asset. + ... be a sophisticated programmer with a good understanding of Data Science, Data Engineering, application development, software...processes. + Stay up-to-date with the latest advancements in ML & AI. + Mentor associates and peers on… more
- Qualcomm (Toronto, ON)
- …datacenter products worldwide. The Linux video software team drives the feature design, development, integration, and commercialization of video software and ... post-processing, and computer vision. * Experience in researching and implementing ML algorithms and tools, and developing machine learning applications according to… more
- Proofpoint (Toronto, ON)
- …committed to bringing passion and customer focus to the business._ **Proofpoint is hiring a Staff Data Scientist / ML Engineer ** to lead multiple Data ... (Docker, Kubernetes). + Solid understanding of MLOps principles including CI/CD for ML , feature stores, model versioning, and monitoring. + Familiarity with… more
- Autodesk (Vancouver, BC)
- …Principal Software Engineer to join our platform team focusing on AI/ ML Platform (AMP). This team builds and maintains central components to fast track ... the development new ML /AI models such as model development studio, ...ML models and finding insights on the underlying data such as drift detection, data fairness/bias,… more