onsite
Lead AI Engineer - Capital One
AI Engineer
Lead AI Engineer driving responsible, real‑time AI solutions for banking, leveraging Python, deep learning, NLP, and AWS to deliver personalized customer experiences.
About the role
Key Responsibilities
- Architect and develop end‑to‑end AI pipelines for real‑time fraud detection, customer insights, and personalized banking services.
- Lead a cross‑functional team of data scientists, ML engineers, and data engineers to design, train, and deploy scalable models on AWS.
- Implement best practices for model governance, explainability, and bias mitigation to ensure responsible AI.
- Collaborate with product, security, and compliance teams to integrate AI features into production systems.
- Mentor junior engineers, conduct code reviews, and champion continuous improvement of ML workflows.
Requirements
- 10+ years of experience in AI/ML engineering with a strong background in Python and deep learning frameworks (TensorFlow, PyTorch).
- Proven track record of deploying production‑grade models at scale on AWS (SageMaker, ECS, Lambda).
- Deep knowledge of NLP, computer vision, or time‑series modeling applied to financial services.
- Experience with MLOps tools (MLflow, Kubeflow) and CI/CD pipelines for ML.
- Strong communication skills and ability to translate complex technical concepts to non‑technical stakeholders.
Skills
pythonmachine learningdeep learningawsnlp