Position Details
About this role
This role involves designing and deploying Generative AI models and systems at scale, focusing on high-performance, secure, and reliable AI solutions within a cloud-native environment.
Key Responsibilities
- Design Gen AI models
- Build scalable ML serving platforms
- Implement MLOps practices
- Automate deployment pipelines
- Collaborate across AI teams
Technical Overview
The environment includes cloud-native ML deployment with Kubernetes, Docker, KNative, KServe, and MLOps tools like ArgoCD and Istio, emphasizing scalable AI system development.
Ideal Candidate
The ideal candidate is a lead machine learning engineer with extensive experience in distributed systems, Gen AI, and MLOps practices. They should have a strong background in programming languages like Python and Go, and experience deploying scalable AI solutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with distributed computing, No background in ML frameworks or MLOps, No experience with cloud-native deployment tools, Not located in or willing to work in specified locations
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