Machine Learning Engineer

Astra North Infoteck Inc.

Toronto, ON
Permanent
Full-time

2 days ago

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

Astra North Infoteck Inc.

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