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Software Engineer Jobs in Canada

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About 1262 results in (3) seconds
Senior ML Engineer at Qode
, Ontario, Canada - Full Time
Skills Needed
Python, Pyspark, Mlflow, Aws, Mlops, Feature Engineering, Model Monitoring, Ci/Cd, Batch Inference, Real Time Scoring, Drift Detection, S3, Spark/Emr, Explainable Ml, Model Versioning, Data Quality Validation
Specialization
Requires 3-5 years of hands-on experience as an ML Engineer with proficiency in Python, PySpark, and MLflow. Candidates should have strong experience in taking models to production and working with AWS cloud services.
Experience Required
Minimum 2 year(s)
Senior AI Engineer at RESMED INC
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Analytics Engineer at LIGHTHOUSE TECHNOLOGY SERVICES INC
British Columbia, British Columbia, Canada - Full Time
Skills Needed
N/A
Principal Engineer at PARSONS
Burnaby, BC, Canada - Full Time
Skills Needed
N/A
Qualification
Graduate
Experience Required
Minimum 10 year(s)
Senior AI Engineer at Workday
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Senior AI Engineer at RBC
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Data & AI Engineer at RealTek Consulting
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
4th Class Engineer at BC Ferries
Ontario, Ontario, Canada - Full Time
Skills Needed
N/A
Lead Data Engineer at Royal Bank of Canada
Alberta, Alberta, Canada - Full Time
Skills Needed
N/A
Senior AI Engineer at CI Financial
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Analytics Engineer at Chartwell Career Site English
Mississauga, Ontario, Canada - Full Time
Skills Needed
Snowflake, Sql, Dbt, Python, Data Modeling, Power Bi, Azure Data Factory, Azure Data Lake Storage, Snowflake Cortex, Microsoft Fabric Data Agents, Dimensional Modeling, Git/Github, Ci/Cd, Data Validation, Predictive Analytics, Stakeholder Management
Specialization
Requires 3-5 years of experience in analytics engineering or data modeling with strong proficiency in SQL and Snowflake. A bachelor's degree in a quantitative field is required, and Snowflake or dbt certifications are strongly preferred.
Experience Required
Minimum 2 year(s)
Front-End Engineer at Hunter Bond
Ontario, Ontario, Canada - Full Time
Skills Needed
N/A
Senior QA Engineer at Tigera
Ontario, Ontario, Canada - Full Time
Skills Needed
N/A
Lead Data Engineer at BANK OF MONTREAL
Alberta, Alberta, Canada - Full Time
Skills Needed
N/A
Senior AI Engineer at Myticas Consulting
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Lead Data Engineer at Hire Digitalent
Alberta, Alberta, Canada - Full Time
Skills Needed
N/A
Analytics Engineer at Jobgether
, , Canada - Full Time
Skills Needed
Sql, Python, Data Modeling, Ci/Cd, Snowflake, Databricks, Microsoft Fabric, Data Pipeline Development, Data Quality Frameworks, Business Stakeholder Management, Data Warehousing, Bi Tools, Data Transformation, Observability, Consulting, Problem Solving
Specialization
Requires 3+ years of experience in data or analytics engineering with strong proficiency in SQL and Python. Must have hands-on experience with cloud data platforms and be based in Vancouver or Toronto.
Experience Required
Minimum 2 year(s)
Senior AI Engineer at McKesson Corp
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Senior AI Engineer at Accel IT
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Senior AI Engineer at Scotiabank
Munchi, Berlin, Canada - Full Time
Skills Needed
N/A
Senior ML Engineer at Qode
, Ontario, Canada -
Full Time

Start Date

Immediate

Expiry Date

31 Aug, 26

Salary

0.0

Posted On

02 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, PySpark, MLflow, AWS, MLOps, Feature Engineering, Model Monitoring, CI/CD, Batch Inference, Real-time Scoring, Drift Detection, S3, Spark/EMR, Explainable ML, Model Versioning, Data Quality Validation

Industry

Software Development

Description
Job Title: Senior ML Engineer Location: Toronto, CA Duration: Full-time Role Summary We are looking for a Senior ML Engineer to design, build, and productionize ML pipelines for a Trust Scoring platform, with a strong focus on replayability, determinism, explainability, and MLOps best practices. This role is hands‑on and platform‑focused, working across batch inference, real‑time scoring, feature engineering, and model monitoring, within an AWS‑native architecture. Key Responsibilities ML Engineering & Model Productionization Productionize PoC ML models into reproducible, governed pipelines Implement deterministic preprocessing for train vs serve parity Develop batch and near‑real‑time inference workflows Generate explainability artifacts (reason codes, score attribution) MLOps Foundations Implement and maintain: MLflow (experiments, model registry) CI/CD pipelines for ML Champion/Challenger model frameworks Enable: Controlled rollouts (shadow, advisory, active scoring) Versioned feature and model deployments Feature & Data Engineering Collaboration Design and consume features from: Batch and low‑latency feature stores Canonical entity models (subscriber, device, SIM) Collaborate on: Data quality validation Schema contracts Drift detection (feature + score) Monitoring & Platform Reliability Implement: Feature drift detection Model performance monitoring SLA and freshness validation Support replay and recovery using idempotent design patterns Required Skills & Experience Core Experience 3–5 years hands‑on experience as a Machine Learning Engineer Strong experience taking ML models from development to production Technical Skills (Must‑Have) Programming: Python, PySpark ML/MLOps: MLflow Model versioning and promotion Drift detection and monitoring Data: Feature engineering Batch and streaming concepts Large‑scale datasets Cloud & Platform AWS experience (preferred): S3, Spark/EMR, IAM, basic networking Familiarity with: Feature stores API‑based inference patterns Nice to Have Experience with fraud, trust scoring, or risk modeling Exposure to PII‑sensitive systems Experience migrating batch ML pipelines to real‑time scoring Knowledge of explainable ML techniques
Responsibilities
Design and productionize ML pipelines for a Trust Scoring platform focusing on replayability, determinism, and explainability. Implement MLOps foundations including MLflow, CI/CD pipelines, and model monitoring within an AWS-native architecture.
Senior ML Engineer at Qode
, Ontario, Canada - Full Time
Skills Needed
Python, Pyspark, Mlflow, Aws, Mlops, Feature Engineering, Model Monitoring, Ci/Cd, Batch Inference, Real Time Scoring, Drift Detection, S3, Spark/Emr, Explainable Ml, Model Versioning, Data Quality Validation
Specialization
Requires 3-5 years of hands-on experience as an ML Engineer with proficiency in Python, PySpark, and MLflow. Candidates should have strong experience in taking models to production and working with AWS cloud services.
Experience Required
Minimum 2 year(s)
Senior AI Engineer at RESMED INC
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Analytics Engineer at LIGHTHOUSE TECHNOLOGY SERVICES INC
British Columbia, British Columbia, Canada - Full Time
Skills Needed
N/A
Principal Engineer at PARSONS
Burnaby, BC, Canada - Full Time
Skills Needed
N/A
Qualification
Graduate
Experience Required
Minimum 10 year(s)
Senior AI Engineer at Workday
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Senior AI Engineer at RBC
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Data & AI Engineer at RealTek Consulting
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
4th Class Engineer at BC Ferries
Ontario, Ontario, Canada - Full Time
Skills Needed
N/A
Lead Data Engineer at Royal Bank of Canada
Alberta, Alberta, Canada - Full Time
Skills Needed
N/A
Senior AI Engineer at CI Financial
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Analytics Engineer at Chartwell Career Site English
Mississauga, Ontario, Canada - Full Time
Skills Needed
Snowflake, Sql, Dbt, Python, Data Modeling, Power Bi, Azure Data Factory, Azure Data Lake Storage, Snowflake Cortex, Microsoft Fabric Data Agents, Dimensional Modeling, Git/Github, Ci/Cd, Data Validation, Predictive Analytics, Stakeholder Management
Specialization
Requires 3-5 years of experience in analytics engineering or data modeling with strong proficiency in SQL and Snowflake. A bachelor's degree in a quantitative field is required, and Snowflake or dbt certifications are strongly preferred.
Experience Required
Minimum 2 year(s)
Front-End Engineer at Hunter Bond
Ontario, Ontario, Canada - Full Time
Skills Needed
N/A
Senior QA Engineer at Tigera
Ontario, Ontario, Canada - Full Time
Skills Needed
N/A
Lead Data Engineer at BANK OF MONTREAL
Alberta, Alberta, Canada - Full Time
Skills Needed
N/A
Senior AI Engineer at Myticas Consulting
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Lead Data Engineer at Hire Digitalent
Alberta, Alberta, Canada - Full Time
Skills Needed
N/A
Analytics Engineer at Jobgether
, , Canada - Full Time
Skills Needed
Sql, Python, Data Modeling, Ci/Cd, Snowflake, Databricks, Microsoft Fabric, Data Pipeline Development, Data Quality Frameworks, Business Stakeholder Management, Data Warehousing, Bi Tools, Data Transformation, Observability, Consulting, Problem Solving
Specialization
Requires 3+ years of experience in data or analytics engineering with strong proficiency in SQL and Python. Must have hands-on experience with cloud data platforms and be based in Vancouver or Toronto.
Experience Required
Minimum 2 year(s)
Senior AI Engineer at McKesson Corp
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Senior AI Engineer at Accel IT
toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Senior AI Engineer at Scotiabank
Munchi, Berlin, Canada - Full Time
Skills Needed
N/A