What are the responsibilities and job description for the Software Engineer III - Python/Spark/AWS/MLOps position at JPMorgan Chase?
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III - Python/Spark/AWS/MLOps at JPMorgan Chase within the Consumer and Community Banking - Machine Learning Delivery Americas team, you will play a crucial role in an agile team focused on designing and delivering innovative technology products that are secure, stable, and scalable. Your responsibilities include implementing essential technology solutions across various technical domains to align with the firm's business objectives. You will engage in a journey of innovation, leveraging your engineering skills to develop Machine Learning products. By collaborating with Data Scientists, Product Managers, and Data Engineers, you will make pivotal technical decisions to engineer and deploy ML models that enhance a range of Consumer and Community Bank Finance products.
Job responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using Python or Java programming languages
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applying technical troubleshooting skills to analyze and resolve technical issues
- Leverages Cloud services to build ML pipeline to implement, deploy and produce ML Models
- Works with Business stakeholders and Product Owners to understand requirements.
- Works with SRE for any infrastructure/production changes.
- Handle MLOps tasks and any associated infrastructure or production changes in coordination with SRE.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 3 years applied experience.
- Demonstrates a proactive attitude and eagerness to learn emerging technologies, including AI and ML.
- Hands-on experience in one or more of the following: PySpark, Kafka, Terraform, Kubernetes
- Experience with AWS services, including but not limited to ECS, EMR, Lambda, EC2 and SageMaker
- Experience in programming languages such as Python or Java.
- Understanding of and ability to learn the basic architecture of Cloud services and usage.
- Hands-on experience with either SQL or NoSQL databases.
- Experience with Agile and scrum methodologies.
- Experience with CI/CD, Application Resiliency, and Security.
Preferred qualifications, capabilities, and skills
- Background with Machine Learning Frameworks and MLOps.
- Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.)
- Experience or knowledge in Databricks.
