We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management, 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
- Utilize Python and Java for data analysis and algorithm development.
- Develop and implement machine learning models and GenAI solutions.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Perform data mining and extraction from various sources.
- Ensure data quality and integrity in all projects.
- Communicate findings and insights effectively to stakeholders.
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Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Education: Degree in Engineering Stream, Data Science, Statistics, or a related field.
- Proven experience with Python and Java programming languages.
- Extensive experience in developing and deploying machine learning models.
- Strong background in GenAI and its applications.
- Advanced proficiency in Python and Java.
- Expertise in GenAI technologies and frameworks.
- Strong understanding of machine learning algorithms and techniques.
- Experience with big data tools and platforms.
- Proficiency in data visualization tools such as Matplotlib, Seaborn, or Tableau.
Preferred qualifications, capabilities, and skills
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Knowledge of data engineering and ETL processes.