Applied AI ML Lead

Job Description
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Promote significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities

• Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture.
• Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions.
• Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies.
• Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics.
• Promote software and model quality, integrity, and security across the organization.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments.
• Hands-on experience and expertise in software development frameworks and tools such as Java, Python and JavaScript.
• Deep understanding of distributed systems, cloud-native architectures, and modern machine learning technologies.
• Experience in cloud platforms such as AWS, GCP, or Azure.
• Knowledgeable in machine learning frameworks, ML Ops tools and practices.
• Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation).
• Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search).
• Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD).
• Hands-on experience with big data, pipeline, orchestration tools and real-time processing frameworks.
• Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.

Preferred qualifications, capabilities, and skills

• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.