Position Details
About this role
This role involves building scalable automation solutions for ML workloads, focusing on performance analysis and infrastructure management in a hybrid environment.
Key Responsibilities
- Assess automation infrastructure
- Develop scalable ML workload tools
- Collaborate with teams
- Optimize workload execution
- Enhance performance analysis
Technical Overview
The position requires expertise in Python scripting, Linux system administration, workflow orchestration tools like Jenkins and Ansible, and managing distributed ML workloads with a focus on performance optimization.
Ideal Candidate
The ideal candidate is a versatile mid-level engineer with strong Python and Linux skills, experienced in workflow automation and managing ML workloads in a hybrid environment, with problem-solving and self-starting capabilities.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No experience with Python or Linux, Lack of workflow orchestration skills, Less than 2 years experience, No familiarity with ML workloads
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