Found Description
Join a dynamic financial technology team as a Machine Learning Engineer in Toronto, Canada (hybrid). Focus on building scalable ML systems using Python and advanced technologies to drive innovation.
In this full-time role, you'll design and scale machine learning systems while leveraging Python, PyTorch, and cloud platforms. Collaborate with a high-growth team at a pivotal stage in product development where your work will impact critical production decisions. If you're passionate about end-to-end ML solutions, this position is perfect for you.
Key Responsibilities:
• Develop machine learning models with modern tools
• Engineer data pipelines for efficient processing
• Deploy ML solutions using MLOps practices
• Collaborate with teams on strategy and execution
• Optimize performance of AI systems in production
Requirements:
• Strong experience in Python programming
• Proficient in machine learning libraries, e.g., Scikit-learn
• Hands-on with data manipu...
In this full-time role, you'll design and scale machine learning systems while leveraging Python, PyTorch, and cloud platforms. Collaborate with a high-growth team at a pivotal stage in product development where your work will impact critical production decisions. If you're passionate about end-to-end ML solutions, this position is perfect for you.
Key Responsibilities:
• Develop machine learning models with modern tools
• Engineer data pipelines for efficient processing
• Deploy ML solutions using MLOps practices
• Collaborate with teams on strategy and execution
• Optimize performance of AI systems in production
Requirements:
• Strong experience in Python programming
• Proficient in machine learning libraries, e.g., Scikit-learn
• Hands-on with data manipu...
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