Machine Learning Engineer

Role: MLOPS Engineer

Duration: Permanent

Location: Toronto, Ontario | Mississauga, Ontario

Required Qualifications:

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 7 years of experience in Information Technology.
• At least 4 years of experience in Information Technology in MLOPS.
• At least 4 years of experience Python Programming for ML Model deployment with Clean code standards.
• At least 4 years of experience in understanding of how Python works and expertise using Pandas, SKLearn, Dart, Gradient Boosting Machines Libraries (XGBoost, LightGBM, Catboost), Prophet, Ray and Dask.
• At least 4 years of experience in AZURE or GCP Cloud environment
• Azure Certified – DP100, AZ/AI900 or GCP equivalent including DevOps certification
• Professional experience setting up MLOPs Framework, monitoring and dashboarding of MLOPs runs.
• Deep understanding of traditional machine learning and the data science lifecycle, CRISP-DM knowledge.
• At least 2 years of experience in MLOPS Framework, industry standards and operations KPI

Preferred Qualifications:

• Experienced in Agile way of working, manage team effort and track through JIRA.
• High Impact client communication.
• Domain experience in Retail, CPG and Logistics.
• Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs.