Enhance urban infrastructure decision-making as an Expert Machine Learning Engineer at Citylogix. Lead innovative projects in computer vision and deep learning. In this hands-on role, you will drive research and development of segmentation systems that map road assets and detect infrastructure defects. Working closely with the CTO and DevOps teams, you'll ensure models are robust and scalable in production environments. Key Responsibilities: • Develop deep learning models for segmentation tasks • Fine-tune transformer models for diverse imaging conditions • Unify model checkpoints into streamlined architectures • Collaborate with DevOps for AWS deployment and monitoring • Maintain comprehensive documentation and experiment tracking Requirements: • 5+ years of experience in machine learning/computer vision • Proficient in PyTorch and segmentation techniques • Experience with models like Mask2Former, OneFormer • Strong coding skills and knowledge of software best practices • High-level communication and prioritization abilities Make an impact on intelligent infrastructure management with your machine learning expertise at Citylogix. #J-18808-Ljbffr
Expert Machine Learning Engineer at Citylogix • Montreal (administrative region), QC, Canada
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