Sr. Applied AI ML Engineer

2 days ago

Columbus, Ohio, United States JPMorgan Chase Full time $120,000 - $250,000 per year

As a Senior Applied AI ML Engineer at JPMorganChase within the Consumer & Community Banking Machine Learning, 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. Drive 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

  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • 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 AI experience
  • Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
  • 10 plus years of 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)
  • Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences
  • Hands-on experience with big data, pipeline, orchestration tools and real-time processing frameworks

Preferred qualifications, capabilities, and skills

  • Certified as AWS Solutions Architect, Certified Developer, or similar certification

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