Lead Software Engineer-Machine Learning and Cloud
JPMorgan Chase & Co.About the role
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 - Machine Learning and Cloud at JPMorgan Chase within the Corporate Technology- Consumer & Community Risk group, 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 and lead, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Embark on an inspiring journey of technology and innovation leveraging your engineering skills to build Machine Learning products. You will drive the technical decisions to engineer and deploy ML models catering to various Consumer and Community Bank Finance products by collaborating with Data Scientists, Product and Data Engineers.
Job responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting
- Provides Technical Leadership, guidance and direction to other team members
- Writes secure and high-quality code using Python or Java programming languages
- Establish standards, guidance and best practices for the technical aspects in the team
- 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 operationalize Machine Learning Models
- Works with Business stakeholders and Product Owners to understand requirements.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
- 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 5+ years applied experience
- Hands-on experience in software engineering, system design, and application development.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Demonstrates a proactive attitude and eagerness to learn emerging technologies, including AI and ML.
- Experience in technologies such as 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.
- Experience working with databases such as Oracle or Cassandra.
- Exposure to Agile and scrum methodologies.
- Familiarity with CI/CD, Application Resiliency, and Security.
Preferred qualifications, capabilities, and skills
- Background with Machine Learning Frameworks and Machine Learning Operations
- Python Machine Learning library and ecosystem experience (Pandas and Numpy etc.)
- Experience or knowledge in Databricks.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site he
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