Principal DevOps Engineer – AI/ML Infrastructure

🔥 2 minutes ago

🇨🇦 Canada – Remote

💵 $130k - $165k / year

⏰ Full Time

🔴 Lead

⛑ DevOps & Site Reliability Engineer (SRE)

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Revvity

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Revvity is a science-based solutions company that leverages innovation across life sciences and diagnostics to improve lives everywhere. The company serves a diverse customer base, including academia, pharma/biotech, clinical laboratories, and healthcare professionals. Its extensive range of products and services includes genomic analysis, clinical diagnostics, cell and gene therapy, drug discovery, precision medicine, and advanced automation solutions. Revvity is committed to empowering scientists with cutting-edge tools and comprehensive solutions to enhance research and development, diagnostics, and clinical testing. With a focus on accelerating time to market while ensuring quality, Revvity is dedicated to revolutionizing next-generation breakthroughs in healthcare and life sciences.

📋 Description

• Architect, design, and lead the implementation of scalable, secure, and resilient infrastructure for AI/ML workloads • Build and maintain CI/CD pipelines for AI models, from data ingestion through model serving and monitoring • Act as a subject matter expert and mentor junior engineers • Drive adoption of best practices for AI/ML platform development, code management, and deployment • Collaborate with AI researchers and software engineers to optimize performance and streamline development and experimentation • Ensure the reliability, security, and performance of AI systems • Monitor industry trends and introduce innovative AI solutions

🎯 Requirements

• 5+ years of experience in DevOps, ML Infrastructure, or Platform Engineering, with several years in a senior or leadership capacity • 5+ years of deep, expert-level knowledge of at least one major cloud provider (e.g., AWS, Azure, or GCP), including their AI/ML and containerization services • 5+ years of hands-on experience with ML orchestration and platform tools like Kubeflow, MLflow, or Amazon SageMaker • 5-8+ years of deep expertise with Docker and Kubernetes for managing and scaling AI/ML workloads • 5-8+ years strong coding skills in languages such as Python, Go, or Bash for automation • Proficiency with tools like Terraform or Ansible to manage and provision infrastructure • Experience building robust and automated CI/CD pipelines using tools like GitHub Actions, GitLab CI/CD, or Jenkins • Valid LinkedIn profile and added work links included with the resume • Candidates must be based in Canada and work EST hours

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