oracle
Full-Stack Engineer – ML Platform, Applied AI – Vice President
JPMorgan Chase
London, GBR
Full-time
Senior
Onsite
Discovered 3 days ago
PythonAWSKubernetesPydantic AILangraphTypeScript
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PythonAWSKubernetes
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PythonAWSKubernetesPydantic AILangraphTypeScript
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Job Responsibilities
- Design and deliver enterprise-grade machine learning systems
- Implement distributed, multi-threaded, and scalable applications
- Build, test, and deploy highly secure automated pipelines for cloud systems, desktop applications, and ML solutions
- Apply software engineering and computer science best practices
- Develop and deploy business-critical, data-intensive applications
- Leverage foundational libraries and services for reuse across teams
- Utilize MLOps tools for versioning, reproducibility, and observability
- Collaborate with cloud and site reliability engineering teams to build robust production architectures
Required Qualifications, Capabilities, and Skills
- Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics
- Strong knowledge of and hands-on experience with Python
- Broad understanding of the software stack, including front end, back end, cloud architecture, messaging and queue systems, databases, security, and network configurations
- Experience with AWS and Kubernetes
- Ability to develop and deploy business-critical, data-intensive applications
- Strong understanding of computer science fundamentals and development best practices
- Ability to understand business objectives and align machine learning problem definitions accordingly
Preferred Qualifications, Capabilities, and Skills
- Experience in machine learning engineering roles
- Familiarity with higher-level interfaces such as Pydantic AI and Langraph
- Proficiency in TypeScript
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