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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III -Senior AI/ML Engineer at JPMorgan Chase within Advisor & Investment Technology team within the Asset & Wealth Management Technology, your role is crucial in an agile team dedicated to improving, creating, and delivering top-tier technology products in a secure, stable, and scalable manner. Your skills and contributions will have a substantial impact on the business, and your extensive technical expertise and problem-solving methods will be applied to a wide range of challenges across various technologies and applications.
Job Responsibilities:
Work closely with cross-functional teams including developers, engineers, product managers and business stakeholders, understanding functional, and non-functional requirements then contributing to overall design & development.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Preferred qualifications, capabilities, and skills
JPMorgan Chase Bank, N.A., doing business as Chase Bank or often as Chase, is an American national bank headquartered in New York City, that constitutes the consumer and commercial banking subsidiary of the U.S. multinational banking and financial services holding company, JPMorgan Chase
Job ID: 145408167
Skills:
Algorithms, Java, data structures, Python, accessible technologies, Go
Skills:
Machine Learning, Testing, Application Development, Artificial Intelligence, Cloud Technologies, Software Development Life Cycle, cloud, System Design, Agile Methodologies, Application Resiliency, coding in one or more languages, Mobile, modern front-end technologies, CI CD, Security, operational stability, database querying languages, maintaining code
Skills:
react.js , Java, Maven, Spring Boot, Kotlin, Sql, Git, Gradle, Gcp, Cloud, Docker, MongoDB, Azure, Kubernetes, AWS, GitHub Actions, Microservices Architecture, CI CD pipelines
Skills:
Hadoop, Etl Development, Scala, Data Modeling, Dataproc, Hive, Presto, Big Data Technologies, Spark, DataFlow, Azure, Python, AWS, Big Query, Airflow, Data lake architecture, Cloud Composer, GCS, GCP technologies
Skills:
S3, Lambda, Git, Pyspark, Databricks, Sql, Python, AWS
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