Platform Engineer leading lifecycle management of MOM and AMHS systems across Kubernetes clusters in semiconductor industry. Collaborating with internal teams to ensure operational reliability in manufacturing.
About the role
- Develop and support AI software components and solutions for Capital One. Collaborate with cross-functional teams to improve banking through AI technologies.
Responsibilities
- Partner with cross-functional teams to deliver AI-powered products
- Design, develop, test, deploy, and support AI software components
- Leverage a broad stack of Open Source and SaaS AI technologies
- Invent and introduce state-of-the-art LLM optimization techniques
- Contribute to the technical vision and roadmap of foundational AI systems
Requirements
- Bachelor's degree in Computer Science, AI, Electrical Engineering, or related fields plus at least 8 years of experience in AI and ML technologies
- At least 8 years of experience programming with Python, Go, Scala, or Java
- 8+ years of experience deploying scalable AI solutions on cloud platforms (e.g. AWS, Google Cloud)
- Experience architecting, designing, and supporting complex AI systems
- Excellent communication and presentation skills
Benefits
- Comprehensive, competitive, and inclusive set of health benefits
- Financial benefits
- Professional development opportunities
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