Deep Learning Engineer

Duration: 6 months + extensions

Location: Downtown Toronto 1x/week

Rate: 60-80hr

Why Open: Expected Vacancy

We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

What You’ll Do

• Develop, train, evaluate, and improve ML and deep learning models.
• Work across the ML lifecycle, including data analysis, feature preparation, experimentation, training, and evaluation.
• Build PyTorch-based models for practical business use cases.
• Analyze model performance and iterate based on clear metrics.
• Build reusable training, evaluation, and inference workflows.
• Collaborate with data, product, and engineering teams.
• Document results, findings, and trade-offs clearly.

What We’re Looking For

• Hands-on experience developing ML models.
• Strong Python programming skills.
• Experience with PyTorch or similar deep learning frameworks.
• Good grasp of ML fundamentals: training, validation, evaluation, optimization, overfitting, and generalization.
• Experience gathering, cleaning, analyzing, and preparing data for ML.
• Good software engineering practices: clean code, version control, testing, and documentation.
• Strong ownership mindset and ability to drive work forward.
• Clear communication and collaboration skills.

Especially Valuable

• Experience with personalized recommendations, search, ranking, or relevance systems.
• Experience with GCP, BigQuery, SQL, Spark, Dataflow, Airflow, Kubernetes, or cloud-based ML workflows.
• Experience supporting ML models in production.