Key skills
DevOpsAI/ML InfrastructureCloud Provider ExpertiseCI/CD PipelinesDockerKubernetesPythonTerraformAnsibleCollaboration SkillsCommunication SkillsGoRBashAIMLMLflowKubeflowAWSAzureGCPJenkinsGitHub ActionsGitLab CISageMakerGitHubGitLabSaaSCI/CDLeadershipCommunicationCollaboration
About this role
Revvity is seeking a Principal AI/ML Dev/Ops Engineer to work within their R&D organization. The role involves building and operating the infrastructure for deploying AI and ML models, bridging the gap between researchers and software development teams to ensure reliable model deployment at scale.
Responsibilities:
- Architect, design, and lead the implementation of scalable, secure, and resilient infrastructure for AI/ML workloads
- Full stack engineer to design and develop scalable SaaS application and services
- 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:
- 8+ years of experience in DevOps, ML Infrastructure, or Platform Engineering, with several years in a senior or leadership capacity
- Deep, expert-level knowledge of at least one major cloud provider (e.g., AWS, Azure, or GCP), including their AI/ML and containerization services
- Hands-on experience with ML orchestration and platform tools like Kubeflow, MLflow, or Amazon SageMaker
- Deep expertise with Docker and Kubernetes for managing and scaling AI/ML workloads
- Strong coding skills in languages such as Python, Go, or Bash for automation
- Demonstrable experience in using AI development tooling (Claude, Cursor, CoPilot)
- 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 diverse technical and business teams