MLops Engineer

Technology Architect - MLOPS EngineerPermanentToronto, Ontario | Mississauga, OntarioRequired 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 environmentAzure 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 KPIPreferred 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.