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 strong 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 systems
• Manage cloud infrastructure and CI/CD tools
• Collaborate with teams on large-scale computation
• Monitor and enhance system performance
• Communicate effectively across various teams
Requirements:
• Minimum 5 years of production infrastructure experience
• Strong Linux systems administration skills
• Proficient in scripting languages such as Groovy or Python
• ...