Lead Software Engineer GCP ML Engineer
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Job Location:
Wilmington, DE - USA
Monthly Salary:
$ 152000 - 215000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office youare 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 firms business objectives.
Job responsibilities
- Execute creative software solutions design development and troubleshooting for ML pipelines and services.
- Develop secure highquality production code; review and debug ML pipeline data processing and inference code.
- Identify opportunities to eliminate or automate remediation of recurring ML pipeline issues to improve stability.
- Lead evaluation sessions with internal teams on ML architectures scalability and observability.
- Lead communities of practice around Vertex AI Pipelines Feature Store and MLOps best practices.
- Add to team culture of diversity opportunity inclusion and respect.
- Design ML pipelines on Vertex AI Pipelines; automate ingestion feature engineering training and deployment with reproducibility.
- Build and manage Feature Store and Model Registry; support finetuning and online/batch inference at scale.
- Configure robust monitoring for model/data drift security telemetry and pipeline reliability; enforce alerting and SLOs.
- Implement encryption (CMEK/KMS) RBAC org policies and compliance controls across ML pipelines and artifacts.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience.
- Handson experience in system design application/ML development testing and operational stability.
- Advanced proficiency in one or more programming languages (Python required).
- Proficiency in automation and continuous delivery for ML pipelines.
- Proficient in all aspects of the Software Development Life Cycle and MLOps practices.
- Advanced understanding of CI/CD application resiliency and security in ML systems.
- Practical cloudnative experience (GCP) operating data/ML workloads.
- Demonstrated experience with Vertex AI Pipelines Workbench Predictions and Feature Store.
- Experience with model registry drift detection and observability (metrics/traces/logs) for ML services.
- Ability to implement CMEK/KMS org policy guardrails and automated remediation controls.
Preferred qualifications capabilities and skills
- Experience with Vertex AI Search Vector Search and RAG pipelines.
- Familiarity with Gemini model families and evaluation instrumentation.
- Strong data engineering for encryption tagging/labeling and lineage.
- Competence in resource tagging aligned to Atlas 2.0 for security/finance/logging.
- Experience with cost management dashboards and spend alerting for ML workloads.
- Awareness of the GCP enablement roadmap (Florence/Atlas 2.0 JET integration).
Required Experience:
IC
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- Data Structures
- JavaScript
- Software Development
- Java
- Distributed Systems
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
