Applied AI Engineer-Sr. Associate at JPMorganChase

DescriptionAs 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 ResponsibilitiesRegularly provides technical guidance and direction to support the business and its technical teams contractors and vendorsDevelops secure and high-quality production code and reviews and debugs code written by othersDrives decisions that influence the product design application functionality and technical operations and processesServes as a function-wide subject matter expert in one or more areas of focusActively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life CycleInfluences peers and project decision-makers to consider the use and application of leading-edge technologiesDrive innovation in machine learning solutions ensuring scalability flexibility and future-proof architectureAct as a thought leader and trusted advisor to executive leadership providing strategic recommendations on machine learning initiatives and solutionsArchitect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologiesEnsure the platform supports complex use cases including real-time predictions big data processing and advanced analyticsPromote software and model quality integrity and security across the organizationRequired qualifications capabilities and skillsFormal training or certification on software engineering concepts and 5 years applied AI experienceProven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments5 plus years of hands-on experience and expertise in software development frameworks and tools such as Java Python and JavaScriptDeep understanding of distributed systems cloud-native architectures and modern machine learning technologiesExperience in cloud platforms such as AWS GCP or AzureKnowledgeable in machine learning frameworks ML Ops tools and practicesStrong 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 audiencesHands-on experience with big data pipeline orchestration tools and real-time processing frameworksPreferred qualifications capabilities and skillsCertified as AWS Solutions Architect Certified Developer or similar certificationRequired Experience:Senior IC Key Skills Laboratory Experience,Electrical Engineering,GIS,Raspberry Pi,System Design,C/C++,CAD,Matlab,Mechanical Engineering,Autocad,Microsoft Project,Catia Employment Type : Full-Time Experience: years Vacancy: 1