Enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable manner within JPMorgan Chase's Consumer & Community Banking Data Technology organization. Promote significant business impact through deep technical expertise and problem-solving methodologies to address diverse challenges across multiple technologies and applications. Drive adoption of AI/ML & GenAI platforms and Data Products with standardized governance.
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience leading a team of data, solution engineers, leading large scale data transformations and migrations in highly regulated industries.
- Strong understanding of Data Lake concepts, relational and NoSQL databases, Data Governance frameworks, Data Privacy.
- Knowledge of best practices, access patterns and collating data across different data platforms for AI- Ready Data.
- Hands on experience in developing, debugging, and maintaining code in large-scale environments using modern programming languages (e.g., PySpark, Python)
- Extensive experience in AI/ML solution design, and large-scale data transformation programs within complex, highly regulated environments
- Demonstrated success building both batch and real-time ML pipelines—including model training, serving, and monitoring—and automating workflows with orchestration tools (Airflow, Step Functions).
Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Create solution prioritized use cases by evaluating approved architecture standards, platform capabilities and governance frameworks to scale the onboarding on the GenAI, ML and Data platforms.
- Develop blueprints or templates for efficient and automated customers onboarding to the platform for a quicker path to production.
- Participate in continuous prototyping of new technology to inform data technology teams on potential new tools to be integrated as part of the existing platforms.
- Partner with platform engineering and architecture to help evaluate the platform capabilities keeping performance, ease of use, integration, resilience and maintainability in mind.
- Manage a team of Data and ML Solutions Engineer to ensure the highest quality of code, processes, demos and solutions by participating in hands on design discussions, peer reviews and troubleshooting.
Other
- Strong leadership presence to work with product, tech, data owners to act as a subject matter expert to represent technical solutions to address customer needs and challenges.
- Coach and mentor team to understand product needs and solution using the approved technical tools and practices.
- Master’s degree (or equivalent experience) in Computer Science, Data Science, Engineering, or a related discipline.
- Knowledge of AI Ethics, Model Governance, MLOps, LLMOps process and best practices
- We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
