Sr. Principal AI/ML Dev/Ops Engineer (Remote US)

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity 

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.

• 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. 

The working hours for this position will be EST.

Candidates must have the capability to Interview In-Person at our Headquarters in Waltham, MA USA.

Please include a valid LinkedIn profile and added work links, to your resume.

Fraud Prevention Notice: We are committed to a fair and transparent hiring process. All applicants must provide accurate and truthful information. Any use of impersonation, falsified identities, or AI-generated deepfakes will result in immediate disqualification from consideration. We conduct identity verification as part of our hiring process to protect both candidates and our organization.

The base salary range for this full-time position is $160,000 - $190,000. This range reflects the minimum and maximum target for a new hire in this position. The base pay actually offered to the successful candidate will take into account internal equity, work location, and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. 

Please note that base pay is only one part of our total compensation package and is determined within a range. This range allows for the successful candidate to have an opportunity to progress within the position and develop at our company. This base pay range does not take into account bonuses, equity, or other benefits which may be applicable and are dependent on the level and position offered.

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What do we offer?

We provide competitive and comprehensive benefits to our employees. Below are some highlights of our benefits:

• Medical, Dental, and Vision Insurance Options

• Life and Disability Insurance  

• Paid Time-Off

• Parental Benefits

• Compassionate Care Leave

• 401k with Company Match

• Employee Stock Purchase Plan

Learn more about Revvity’s benefits by visiting our Bswift page. Log-In instructions are provided towards the bottom of the Bswift page.

*For benefit-eligible roles only. Part-time and temporary roles may not be eligible for all benefits listed. Please reach out to your recruiter for more information.

Revvity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic or status protected by applicable federal, state, and/or local laws. If you are an applicant with a disability that requires reasonable accommodation to complete any part of the application process or are limited in the ability—or unable to use—the online application system and need an alternative method for applying, you may contact [email protected].