Explore a rewarding Machine Learning Engineer position in Toronto, Canada (hybrid) that emphasizes innovation in financial technology. Utilize Python and other advanced tools to create impactful ML systems.In this full time role, you'll be instrumental in designing, scaling, and deploying machine learning models. Work alongside a talented team at a growth stage, where your contributions can significantly influence product success. Your focus on AI performance will be key as you engage in various technical disciplines.Key Responsibilities:
Design machine learning systems and models
Build data pipelines for enhanced data processing
Employ MLOps practices during deployment phases
Work collaboratively with teams on strategic initiatives
Analyze and optimize the performance of AI solutionsRequirements:
Significant experience in Python and machine learning libraries
Proficient with data manipulation tools like NumPy and Pandas
Familiar with SQL and NoSQL database systems
Experience with cloud platforms such as AWS or Azure
Knowledge of MLOps tools and CI/CD workflowsBring your ML expertise to a hybrid role focused on transforming financial technology solutions.#J-18808-Ljbffr