Machine Learning Platform Engineer Focused on Infrastructure Design

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.