Software Engineer II - ML Engineer

Job Description
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 a Software Engineer II at JPMorgan Chase within the Asset & Wealth Management, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance. Build and support Business Critical Reporting Solutions that deliver information in ways that drive business growth and operational efficiency. Query, analyze, and transform complex data sets to optimize ETL processes and enhance performance, integrating machine learning where applicable.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• 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
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Experience demonstrating technical expertise in end-to-end data and analytics implementations, with a focus on machine learning applications.
• Highly proficient with data warehousing and analytics tools, with hands-on experience in Python, AWS, Spark, Snowflake, and SQL.
• Experience optimizing data models, data architecture, and data libraries specifically for reporting solutions.
• Proficient in using scripts to transform data and implement machine learning systems.
• Research and implement appropriate machine learning algorithms and tools tailored to business needs.
• Develop machine learning applications according to specifications, selecting appropriate datasets and data representation methods.
• Conduct machine learning tests and experiments, perform statistical analysis, and fine-tune models based on test results.
• Train and retrain machine learning systems as necessary to improve performance and accuracy.

Preferred qualifications, capabilities, and skills

• Familiarity with data visualization tools such as QlikSense or Tableau.