-
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
View all jobs
Machine Learning Engineer
Canada
· Full-time
·
Mid-Senior
Primary Skill /s - Machine Learning to Customer Marketing initiatives -Python and libraries like PySpark, TensorFlow, PyTorch, and Scikit-learn big data ecosystems (e.g., Hadoop/Spark) and cloud platforms (e.g., Azure, AWS, GCP)
Required Skills & Qualifications
• Strong programming skills in Python with proven experience building production-grade ML systems.
• Hands-on expertise in PySpark and distributed data processing for feature engineering and model training.
• Practical experience with ML frameworks such as Scikit-learn, and at least one deep learning framework (TensorFlow or PyTorch).
• Solid understanding of supervised/unsupervised ML techniques and evaluation metrics (AUC, F1, precision/recall, lift, calibration).
• Experience working within big data ecosystems (Hadoop, Spark) and data lake/lakehouse concepts.
• Cloud experience in one or more platforms: Azure / AWS / GCP (compute, storage, orchestration, security basics).
• Familiarity with MLOps practices: model versioning, reproducibility, CI/CD, automated testing, and monitoring.
• Strong communication skills and ability to explain model outputs to business partners (especially marketing stakeholders).
Preferred / Nice-to-Have
• Experience with customer marketing analytics: segmentation, personalization, recommender systems, attribution, uplift modeling, MMM, or experimentation.
• Knowledge of feature stores, ML pipeline orchestration (Airflow, ADF, Step Functions, Composer), and model registries.
• Experience with containerization & orchestration: Docker/Kubernetes.
• Exposure to modern data platforms: Databricks, Snowflake, BigQuery, SageMaker, Vertex AI, Azure ML.
• Familiarity with data governance, PII handling, consent frameworks, and regulatory requirements (industry dependent
Required Skills & Qualifications
• Strong programming skills in Python with proven experience building production-grade ML systems.
• Hands-on expertise in PySpark and distributed data processing for feature engineering and model training.
• Practical experience with ML frameworks such as Scikit-learn, and at least one deep learning framework (TensorFlow or PyTorch).
• Solid understanding of supervised/unsupervised ML techniques and evaluation metrics (AUC, F1, precision/recall, lift, calibration).
• Experience working within big data ecosystems (Hadoop, Spark) and data lake/lakehouse concepts.
• Cloud experience in one or more platforms: Azure / AWS / GCP (compute, storage, orchestration, security basics).
• Familiarity with MLOps practices: model versioning, reproducibility, CI/CD, automated testing, and monitoring.
• Strong communication skills and ability to explain model outputs to business partners (especially marketing stakeholders).
Preferred / Nice-to-Have
• Experience with customer marketing analytics: segmentation, personalization, recommender systems, attribution, uplift modeling, MMM, or experimentation.
• Knowledge of feature stores, ML pipeline orchestration (Airflow, ADF, Step Functions, Composer), and model registries.
• Experience with containerization & orchestration: Docker/Kubernetes.
• Exposure to modern data platforms: Databricks, Snowflake, BigQuery, SageMaker, Vertex AI, Azure ML.
• Familiarity with data governance, PII handling, consent frameworks, and regulatory requirements (industry dependent
Key Skills
Ranked by relevance
tensorflow
big data
python
cloud
aws
gcp
containerization
machine learning
deep learning
composer
storage
pytorch
hadoop
spark
mlops
cicd
ai
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Senior Data & Machine Learning Engineer (all genders)
2026-05-21
Full-time
Not Applicable
Austria
IT Services
Engineering
View Job Details
Related
Software Engineer III, Machine Learning, Research and Products
2026-05-26
Full-time
Not Applicable
Switzerland
Information Services
Information Technology
View Job Details
Related
DevOps Engineer
2026-05-26
Full-time
Executive
Singapore
Information Services
Information Technology
Login to Apply
- Posted
- Apr 14, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Toronto
Industries
Information Services
Categories
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Senior Data & Machine Learning Engineer (all genders)
2026-05-21
Full-time
Not Applicable
Austria
IT Services
Engineering
View Job Details
Related
Software Engineer III, Machine Learning, Research and Products
2026-05-26
Full-time
Not Applicable
Switzerland
Information Services
Information Technology
View Job Details
Related
DevOps Engineer
2026-05-26
Full-time
Executive
Singapore
Information Services
Information Technology