We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a ML Cloud Lead Software Engineer at JPMorgan Chase within the Corp Tech CCB Risk group, 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 Enterprise Machine Learning platforms that are capable of running predictive models
• Provides Technical Leadership, guidance and direction to other team members
• Writes secure and high-quality code using the syntax of at least one programming language with python, Java
• Establish standards, guidance and best practices for the technical aspects in the team
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Leverages Cloud services to build ML pipeline to implement, deploy and productionize ML Models
• Work with Business stakeholders and Product Owners to understand requirements.
• Work with SRE for any infrastructure/production changes.
• Ingests data from multiple sources

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5 years applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Attitude to learn new technologies. Passionate about building an innovative culture
• Experience in programming languages such as Python/Java.
• Understands/learn the basic architecture of Cloud services and usage.
• Background with Machine Learning Frameworks and Big Data technologies such as Hadoop, Hive.
• Experience working with databases such as Oracle or Cassandra.
• Exposure to Agile and scrum methodologies.
• Familiarity with CI/CD, Application Resiliency, and Security.
• Emerging knowledge of software applications and technical processes within any technical discipline such as cloud, artificial intelligence, machine learning, Data analytics.

• Knowledge of any of the technologies like Big Data / Distributed computing like Spark, Kafka, Terraform, Kubernetes, AWS.
• Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.)