remote
Applied Artificial Intelligence/ Machine Learning Lead - Vice President - JPMorganChase
ML Engineer
Lead the end‑to‑end development of high‑impact AI/ML models for wealth management, lending, and advisory, collaborating with business stakeholders and deploying solutions at scale using cloud infrastructure.
About the role
Key Responsibilities
- Define and scope AI/ML problem statements in partnership with Private Bank business leads, translating business needs into technical solutions.
- Own the full model lifecycle: data preparation, feature engineering, algorithm selection, training, validation, and performance monitoring.
- Collaborate with data engineering and DevOps teams to deploy models into production environments, ensuring scalability, reliability, and compliance.
- Drive continuous improvement of model performance through experimentation, A/B testing, and feedback loops.
- Communicate complex technical concepts to non‑technical stakeholders, providing actionable insights and recommendations.
Requirements
- Extensive experience leading AI/ML initiatives in a financial services context.
- Proficiency in Python, data science libraries (pandas, scikit‑learn, TensorFlow/PyTorch), and model deployment tools.
- Strong understanding of cloud platforms (AWS, Azure, or GCP) and MLOps practices.
- Excellent problem‑solving skills and ability to translate business problems into technical solutions.
- Effective communication skills with both technical and non‑technical audiences.
Skills
pythonmachine learning