As a Software Engineer III at JPMorgan Chase, you will design, develop, and troubleshoot software solutions, collaborate with cross-functional teams, and build scalable APIs/services for ML model deployment. Your responsibilities will include automating MLOps pipelines, utilizing cloud platforms, and contributing to the deployment of machine learning models in production.
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the CCB RISK TECHNOLOGY, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Execute software solutions, design, development, and troubleshooting by thinking beyond conventional approaches.
- Collaborate with product managers, data scientists, and ML engineers to understand requirements and develop scalable APIs/services for model deployment.
- Build applications to automate MLOps pipeline steps and stay informed on LLM/GenAI advancements to implement cutting-edge techniques.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Accumulate 5+ years of technical experience in building software.
- Develop strong programming skills, preferably in Python.
- Utilize public cloud platforms such as AWS, Azure, or GCP.
- Build APIs and RESTful services using Flask, Django, or FastAPI.
- Apply Agile methodologies, including CI/CD, in software development.
- Gain knowledge of software applications and technical processes in disciplines like cloud, AI, ML, or mobile.
- Understand fundamentals of machine learning and large language models (LLMs).
- Collaborate effectively with cross-functional teams to communicate complex concepts.
- Contribute to interdisciplinary projects with strong collaboration skills.
- Deploy business-critical machine learning models in production environments.
Preferred qualifications, capabilities, and skills
- Experience in microservices design, implementation
- Familiarity with the financial services industries
- Experience with BigData Datastores,containerization technologies (e.g., Docker and Kubernetes)
Top Skills
Python
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