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 Consumer and community banking- Architecture and Engineering, 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:
- Develop and productionize high-quality machine learning models, services, and platforms to create significant technological and business impact.
- Design and implement scalable and reliable data processing pipelines, performing analysis and deriving insights to optimize business outcomes.
- Deploy machine learning models using LLMs for Generative AI applications, including text generation, classification, and question answering.
- Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using GenAI technologies.
- Build and maintain data lakes and data processing workflows using Databricks to support machine learning operations.
- Implement data visualization and analytics solutions using ThoughtSpot to provide actionable insights to stakeholders.
- Conduct research on prompt engineering techniques to enhance the performance of LLM-based models.
- Analyze and interpret complex datasets to evaluate model performance and identify areas for improvement.
- Communicate technical concepts and results effectively to both technical and non-technical stakeholders.
- Develop end-to-end ML pipelines for real-time and batch predictions and integrate them with existing applications.
- Champion a DevOps model and support the maturity of the ML development life cycle (MDLC).
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch or TensorFlow.
- Experience in building and managing data lakes and data processing workflows using Databricks.
- Experience in building AI Agents and MCP Servers
- Proficiency in using GenAI models (OpenAI or similar) to solve business problems.
- Solid understanding of data structures, algorithms, and machine learning concepts.
- Experience in NLP and deep learning, with recent exposure to prompt engineering on LLMs.
- Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders.
- Experience with big data technologies (Hadoop, Spark, etc.) and cloud-based technologies (AWS, Azure, GCP).
- Hands-on experience with MLOps tools and practices, ensuring seamless integration of models into production environments.
Preferred Qualifications, Capabilities, and Skills:
- Experience in developing and deploying production-grade NLP models.
- Familiarity with data visualization tools like ThoughtSpot.
- Experience in developing APIs and integrating machine learning models into software applications.
- Knowledge of modern development technologies and tools such as Agile, CI/CD, Git, Terraform, and Jenkins.
- Experience with Enterprise Cloud infrastructure and monitoring tools like Data Dog, Prometheus, Splunk, Elasticsearch, and Grafana.
What the Team is Saying
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
