Job Title: ML EngineerJob ID: 86770Location: Calgary, AlbertaWhat 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 new 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 team-oriented 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#J-18808-Ljbffr

📌 Ml Engineer - C$80,000 - C$95,000 A Year (Calgary)
🏢 TEEMA
📍 Calgary