Sr. Principal AI/ML Dev/Ops Engineer (Remote US)
Company: Revvity
Location: Waltham, MA (Remote)
Salary: $160,000 - $190,000 a year
Type: Full-time
Level: lead
Remote: Yes
Posted: 2026-02-28
About this role
Sr. Principal AI/ML Dev/Ops Engineer
We are seeking a senior principal-level full stack engineer working within the R&D organization that can build and operate the infrastructure to manage the deployment of artificial intelligence (AI) and machine learning (ML) models.
You will be responsible for bridging the gap between ML Model researchers, and traditional software development teams to ensure ML models are reliably built, tested, and deployed into production at scale.
This role requires a blend of deep expertise in DevOps principles, software engineering, and AI/ML infrastructure, with a strong focus on automation, scalability, and security.
Main functions:
- 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.
Basic Qualifications:
- 8+ years of experience in DevOps, ML Infrastructure, or Platform Engineering, with several years in a senior or leadership capacity.
Preferred Qualifications:
- 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.
- De...