Responsibilities

• Architect and lead end-to-end computer vision projects focused on equipment defect detection, thermal anomaly identification, and vegetation encroachment monitoring
• Drive innovation by incorporating advances in deep learning and generative AI to enhance model training and reliability
• Develop production-grade Python libraries for the complete ML lifecycle
• Mentor team members and establish best practices for model development, evaluation, deployment, and monitoring
• Advocate for and uphold software quality standards within the ML team

Requirements

• 7-10 years of industry experience in computer vision and machine learning
• Deep expertise in object detection, semantic segmentation, image classification, similarity search, and vision language models
• Proven track record of deploying and maintaining ML models in production
• Expert proficiency in PyTorch, Lightning, OpenC...