You’re ready to gain the skills and experience needed to grow within your role and advance your career-and we have the perfect software engineering opportunity for you. 

As an AWS Software Engineer II-AI/ML at JPMorgan Chase within the Consumer and Community Banking-Data Technology team, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Design, code, test, and deliver data platform software capabilities to develop Machine Learning/AI-LLM and Modeling capabilities for generating Business outcomes oriented to Data Life Cycle Management capabilitiesCollaborate on design innovation and develop engineering capabilities for advanced big data, cloud and analyticsCode, test, and deploy micro-services based software capabilities for big data and analytics in the AWS cloudSeek to continuously develop deep AWS engineering skills that optimizes code quality and performanceCollaborate on data engineering coding principles, standards, designs, frameworks, and chaos testingUse your verbal and written communication skills for expressing technical software requirements and designs  Deliver technology for systems globally. Work closely with regional and global teams to deliver high quality technology services and projects on time, in scope, and within budget

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 2+ years applied experienceHands-on professional experience in Software Development, Data Science, and SQL, Data Engineering and Machine LearningStrong hands-on Shell Scripting and UNIX skillsDemonstrated Big Data and hands-on data migration expertise as a software engineerStrong knowledge of Python, Pandas, Algorithm, Time complexity optimization, and FAST API to implement techniques effectivelyAbility to compare and identify the correct algorithm for building models with optimum performanceStrong AI-model-based work experience, including building and comparing different models like Hugging Face, Mistral, GPT-4, PyTorch, BERT, and using matching techniques like Cosine SimilarityHands-on experience with DevOps tools like Git, Jenkins, test-based coding, and Spinnaker deployment pipelinesBasic understanding of AWS Services

Preferred qualifications, capabilities, and skills

Advanced knowledge of application, data, and infrastructure architecture disciplinesExperience with AWS OpenSearch, Bedrock, and Sage-Maker is a plusExperience with Snowflake platformAWS Foundations Certification preferredAbility to work in large, collaborative teams to achieve organizational goals, and passionate about building an innovative cultureProficiency in one or more modern programming languages like AWS and Machine Learning/LLMUnderstanding of software skills such as business analysis, development, deployment CI/CD, maintenance, and software improvement