Senior Machine Learning Engineer

Job Summary

Leading innovative computer vision projects, the remote Senior Machine Learning Engineer will architect and manage end-to-end solutions for power grid analysis while mentoring a team of ML engineers and driving advancements in model development.

Key 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 the latest advances in deep learning and generative AI to enhance model training and reliability
• Develop production-grade Python libraries for the complete ML lifecycle and establish best practices for model development and deployment

Required qualifications

• 7-10 years of industry experience in computer vision and machine learning
• Deep expertise in modern computer vision techniques, including object detection and semantic segmentation
• Proven track record of deploying and maintaining ML models in production
• Expert proficiency in PyTorch, OpenCV, and Scikit-Learn
• 2-3 years of proven leadership experience in managing technical teams