About the role

Our client is looking for a Senior AI / ML Engineer to take ownership of improving the learning performance of AI models used for vehicle damage detection and damage size assessment. The role exists because the client’s current AI models have plateaued over the past year and they are looking for a fresh perspective to identify new approaches and drive further improvements in data, training, evaluation, and model design.

Responsibilities

• Diagnose and resolve stagnation in existing machine learning and deep learning models
• Improve damage detection and damage size estimation accuracy and consistency
• Own the full learning lifecycle: data, training, evaluation, deployment, and feedback loops
• Analyze and improve dataset quality, labeling strategy, and data balance
• Redesign or refine model architectures, loss functions, and optimization strategies when needed
• Align model objectives and evaluation metrics with real-world business outcomes
• Integrate production feedback to continuously improve model performance
• Deploy, monitor, and iterate on models running in AWS environments
• Collaborate closely with product, engineering, and AI stakeholders

Requirements

• Production experience with computer vision systems
• 5+ years of hands-on experience in machine learning and deep learning
• Proven experience improving underperforming or stalled ML models
• Strong understanding of training dynamics, generalization, overfitting, and bias
• Experience designing or improving evaluation metrics beyond simple accuracy
• Strong Python skills with PyTorch and/or TensorFlow
• Experience working with large, imperfect, real-world datasets
• Experience deploying and operating ML models in AWS-based production environments

Nice to have

• Experience with defect detection, damage detection, or visual inspection use cases
• Familiarity with YOLO or similar architectures

Schedule: