Machine Learning Engineer

Job Title: MLOPS Engineer

Duration: Full – Time

Location: Toronto ON

The client is seeking a MLOPS Engineer with strong background in designing and deploying machine learning models using MLOPS framework. Ideal candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on Azure ML. One will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components. Ideally the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution.

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
• 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.