onsite
Lead AI Engineer - Vision Model Customization - Capital One
AI Engineer
Lead the design, development, and deployment of advanced computer vision models, driving responsible AI solutions on AWS infrastructure to enhance real‑time customer experiences.
About the role
Key Responsibilities
- Architect and implement end‑to‑end computer vision pipelines, from data ingestion to model training and inference.
- Collaborate with cross‑functional teams to define vision model requirements and translate business goals into technical specifications.
- Optimize model performance using state‑of‑the‑art deep learning frameworks (PyTorch/TensorFlow) and ensure scalability on AWS services.
- Establish robust model monitoring, bias mitigation, and explainability practices to maintain responsible AI standards.
- Mentor and guide a small team of ML engineers and data scientists, fostering a culture of continuous improvement.
Requirements
- 5+ years of experience in machine learning with a strong focus on computer vision.
- Proficiency in Python, deep learning libraries, and cloud deployment (AWS).
- Hands‑on experience with model versioning, CI/CD pipelines, and performance monitoring.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical stakeholders.
- Passion for building responsible AI systems and a track record of delivering production‑grade solutions.
Skills
pythonmachine learningcomputer visiondeep learningaws