Harness your expertise as a Lead Machine Learning Engineer at Quincus to transform logistics through AI innovation. Focus on developing and deploying scalable deep learning models.
Quincus is revolutionizing the supply chain with advanced technology solutions. We are looking for a energetic Machine Learning Engineer to take ownership of model optimization and system scalability. The ideal candidate will lead initiatives in deep learning and reinforcement learning, ensuring that our models effectively meet real-world demands.
Key Responsibilities:
• Lead design of systems for deep learning model serving
• Implement performance optimization techniques
• Utilize GPU resources to enhance training and inference




• Manage production workflows for machine learning
• Collaborate with cross-functional teams on new technologies
Requirements:
• Bachelor's or Master's in Computer Science or equivalent
• 3+ years in a focused machine learning role
• Strong coding skills in Python; C++ or Java helpful
• Familiarity with deep learning frameworks and cloud platforms
• Experience in GPU programming using CUDA or OpenCL
Deliver impactful machine learning solutions at Quincus as we innovate the logistics landscape.
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📌 Lead Machine Learning Engineer at Quincus (Toronto)
🏢 Quincus
📍 Toronto