Revvity Signals is a company that empowers scientists across Life Science R&D and clinical research through its innovative software. The Principal DevOps Engineer - AI/ML will be responsible for building and maintaining AI infrastructure, ensuring seamless integration between AI researchers and software development teams, and leading the implementation of scalable solutions for AI/ML workloads.
Responsibilities:
- Architect, design, and lead the implementation of scalable, secure, and resilient infrastructure for AI/ML workloads
- Build and maintain the continuous integration and continuous deployment (CI/CD) pipelines specifically for AI models, managing everything from data ingestion to model serving and monitoring
- Act as a subject matter expert and mentor for junior engineers, driving the adoption of best practices for AI/ML platform development, code management, and deployment
- Work closely with AI researchers, and software engineers to optimize performance and streamline the end-to-end development and experimentation process
- Ensure the reliability, security, and performance of AI systems
- Stay ahead of industry trends and bring innovative AI solutions to the table
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
- Excellent collaboration and communication skills to work effectively with cross-functional technical and business teams