JPMorgan Chase is looking to solve complex problems by applying quantitative, data science, and analytical skills to design, develop, evaluate, and execute data science and analytical solutions with a keen functional understanding of the business problem.
Requirements
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Experience in the application of AI/ML to a relevant field,
- Practical cloud native experience
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.
- Strong experience in natural language processing (NLP) and its applications.
- Solid coding level in programming languages including Python and experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
Responsibilities
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Developing AI/ML solutions to address impactful business needs
- Working with other team members to productionize end-to-end AI/ML solutions
- Engaging in research and development of innovative relevant solutions
- Data wrangling, data analysis, modeling, including model selection and producing quick applicable modeling solutions.
Other
- Engaging with stakeholders and understanding business requirements,
- Collaborating with other teams across the firm to attain the mission and vision of the team and the firm
- Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
