Elevate machine learning capabilities as a Senior DevOps Engineer responsible for developing automated pipelines. Collaborate with scientists and engineers to streamline data processes.This role is targeted at professionals with at least five years of experience in building automated production infrastructure. Proficiency in either Azure or AWS, along with solid knowledge of container orchestration tools like Kubernetes, is required. Your efforts will enable seamless data ingestion and model training workflows.Key Responsibilities:Develop and automate scalable machine learning systemsManage cloud infrastructure and CI/CD toolsCollaborate with teams on large-scale computationMonitor and enhance system performanceCommunicate effectively across various teamsRequirements:Minimum 5 years of production infrastructure experienceStrong Linux systems administration skillsProficient in scripting languages such as Groovy or PythonExperience with Elasticsearch and JenkinsDegree in Computer Science is preferredLeverage your DevOps skills in an entrepreneurial environment to drive innovation in machine learning.

📌 Senior Devops Engineer - Machine Learning Focus (Toronto)
🏢 Layer 6 AI
📍 Toronto