Position Details
About this role
This role involves designing, building, and deploying Generative AI applications and ML systems at scale, focusing on cloud-native architectures and automation.
Key Responsibilities
- Design ML models
- Build scalable ML platforms
- Implement MLOps practices
- Collaborate with AI teams
- Ensure high availability of AI solutions
Technical Overview
The position requires expertise in Python, Go, Scala, Java, container orchestration with Kubernetes, ML serving frameworks like KNative and KServe, and MLOps practices.
Ideal Candidate
The ideal candidate is a mid-level ML engineer with 6+ years of experience in designing data solutions, strong programming skills in Python, Scala, or Go, and experience with ML deployment and cloud-native tools like Kubernetes and KNative.
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 ML systems, Less than 2 years building ML systems, No experience with Kubernetes or KNative
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