Principal AI DevOps Engineer

3 weeks ago

Remote, United States BioLegend, Inc. Full time

Revvity Signals makes market‑leading software that empowers scientists across Life Science R&D, clinical research, and specialty chemicals to make better medicines and products, faster. Our flagship offering is the SaaS Signals Research Platform that provides knowledge capture, collaboration, analysis and visualization tools across the full depth and breadth of scientific discovery workflows. The viral adoption of our software is accelerating innovation, expediting drug development for a healthier world and facilitating the creation of sustainable materials.
Join us as a Principal AI DevOPS Engineer where you'll play a pivotal role building out, maintaining and operating our AI infrastructure, that is part of the Signals Platform. This is your chance to work closely with a dedicated team of experienced developers building out AI capabilities within our product.
We are seeking a senior‑level technical expert working within the R&D organization, who integrates and orchestrates the entire lifecycle of artificial intelligence (AI) and machine learning (ML) projects.
You will be responsible for bridging the gap between AI researchers, and traditional software development teams to ensure AI 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.
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.
8+ years of experience in DevOps, ML Infrastructure, or Platform Engineering, with several years in a senior or leadership capacity.
~6+ 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.
~6+ years of hands‑on experience with ML orchestration and platform tools like Kubeflow, MLflow, or Amazon SageMaker.
~6+ years of deep expertise with Docker and Kubernetes for managing and scaling AI/ML workloads.
~6-8+ years strong coding skills in languages such as Python, Go, or Bash for automation.

Experience building robust and automated CI/CD pipelines using tools like GitHub Actions, GitLab CI/CD, or Jenkins.
Please include a valid LinkedIn profile (and other demonstrated work links) to your resume.
Fraud Prevention Notice
Any use of impersonation, falsified identities, or AI‑generated deepfakes will result in immediate disqualification from consideration. Medical, Dental, and Vision Insurance Options
~ Life and Disability Insurance
~ Employee Stock Purchase Plan

Part‑time and temporary roles may not be eligible for all benefits listed. Remote working/work at home options are available for this role.

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