Experienced Machine Learning Platform Engineer for Infrastructure Design

Shape the future of machine learning infrastructure as a Machine Learning Platform Engineer. Dive into designing, implementing, and optimizing MLOps and DevOps tools in a collaborative environment. In this role, you'll leverage over 5 years of expertise in distributed systems and MLOps orchestration. Collaborate closely with engineers and researchers to automate deployments and enhance operational efficiency. Your work will be pivotal in building scalable, resilient cloud and on-premises systems to support advanced ML applications. Key Responsibilities: • Design and optimize ML deployment tools and automation systems • Implement best practices for data and ML pipelines • Collaborate on automating code analysis and deployment • Support infrastructure design and monitoring solutions • Build scalable systems for ML hosting Requirements: • 5+ years of experience with distributed and ML systems • Proficient in DevOps tools like Jenkins and GitHub • Familiarity with orchestration tools like AirFlow and KubeFlow • Proficiency in programming languages like Python • Solid understanding of UNIX and monitoring solutions Bring your ML expertise to a team committed to groundbreaking advancements in the industry and supply scalable solutions for today's challenges.