Machine Learning Platform Engineer
ODAIA
About the role
About
Innovate machine learning systems as a Machine Learning Platform Engineer. Engage in designing and optimizing infrastructure and automation tools within a dynamic team dedicated to ML advancement. The ideal candidate will have over 5 years of experience in ML and distributed systems. This role involves collaborating with professionals to enhance data pipelines, automate deployment processes, and optimize system performance. Be part of a team that values your expertise in building resilient systems for immediate application across various environments.
Key Responsibilities
- Design and optimize automation frameworks for ML applications
- Implement standards for data and machine learning practices
- Collaborate on automating integration and deployment
- Support infrastructure decision-making and monitoring solutions
- Build scalable systems for hosting ML applications
Requirements
- 5+ years experience with machine learning systems
- Familiarity with Jenkins and GitHub for DevOps
- Experience with orchestration tools like KubeFlow
- Proficiency in Python, Bash, or JavaScript
- Strong knowledge of UNIX and best software practices
Leverage your machine learning expertise in a collaborative atmosphere and contribute to revolutionary solutions that impact multiple sectors.
Skills
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