High Salary Applied AI ML Lead
1 week ago
Job Description
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.
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