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Job Title: ML Engineer

Job ID: 86770

Location: Calgary, Alberta

What you will be doing:

- Stand up, monitor, maintain, and improve existing ML pipelines, ensuring they run reliably and efficiently in production on AWS.
- Engineer, evaluate, and iterate on model features — maintain a catalogue of engineered features for understanding what drives predictive performance and why it matters for live audience use cases.
- Develop current ML models and pipelines that expand our platform’s capabilities, with a focus on practical, client-facing outcomes.
- Design scalable, IaC-managed ML pipelines and CI/CD systems that reliably deliver model training and inference deployment across hundreds of tenants.
- Work within AWS SageMaker as your primary ML environment — managing experiments, training jobs, model deployment, and monitoring.
- Collaborate closely with data engineers, developers, and product stakeholders to translate business questions into well-defined ML problems.
- Write clean, well-documented Python code that others on the team can build on.
- Invest in continuous learning — staying current on developments in ML, cloud infrastructure, and the evolving sports data landscape.

What you must have:





- A Computer Science degree or equivalent hands-on experience — we care about what you can do, not just where you studied.
- Solid SQL skills and basic data engineering fundamentals — querying, aggregating, and transforming structured and semi-structured data to support ML workflows.
- Proficiency in Python, with comfort writing modular, maintainable code using version control (GitHub or similar) as part of a collaborative team.
- Experience with cloud platforms (AWS, GCP, or Azure) and managed ML services (SageMaker, Vertex AI, AzureML); SageMaker preferred.
- Working knowledge of the ML lifecycle end-to-end: data prep, feature engineering, model training, evaluation, and production deployment.
- Familiarity with widely used ML algorithms (random forests, gradient boosting, regression), understanding when to use them and core concepts like feature importance and model evaluation metrics.
- Bonus: exposure to other AWS services (S3, Lambda, Glue, Redshift), Docker, or experience in a sports, media, or entertainment data context.

Salary/Rate Range: $80,000.00 – $95,000.00

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Apply on Kit Job: kitjob.ca/job/2fshbh

📌 ML Engineer (Calgary)
🏢 TEEMA
📍 Calgary