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

📋 Description

• • Are you a seasoned Principal Engineer with a passion for building robust, scalable, and secure infrastructure that powers cutting-edge Artificial Intelligence and Machine Learning solutions? Revvity, Inc. is seeking a highly skilled and motivated Principal AI/ML Dev/Ops Engineer to join our dynamic R&D organization. This is a unique opportunity to bridge the critical gap between groundbreaking ML research and the practical realities of deploying these models into production environments at scale.
• • As a Principal AI/ML Dev/Ops Engineer, you will be instrumental in architecting, designing, and leading the implementation of the foundational infrastructure required to manage the entire lifecycle of AI/ML models. You will be the driving force behind ensuring that these sophisticated models are not only developed but also reliably tested, deployed, and continuously monitored in production. Your expertise will be crucial in translating the innovations of our AI researchers and the requirements of our software development teams into a cohesive, high-performing platform.
• • This role demands a rare blend of deep expertise in DevOps principles, a strong foundation in software engineering, and specialized knowledge of AI/ML infrastructure. A relentless focus on automation, scalability, and security will be paramount to your success. You will be empowered to make significant technical decisions, mentor junior engineers, and champion best practices across the organization. Your contributions will directly impact our ability to solve the world's greatest health challenges through advanced AI and ML technologies.
• • Key responsibilities will include:
• • Architecting, designing, and leading the implementation of scalable, secure, and resilient infrastructure specifically tailored for AI/ML workloads. This involves making strategic technology choices and overseeing their successful integration.
• • Acting as a full-stack engineer to design and develop scalable SaaS applications and services that support our AI/ML initiatives, ensuring they are robust and user-friendly for internal stakeholders.
• • Building and maintaining sophisticated continuous integration and continuous deployment (CI/CD) pipelines. These pipelines will be optimized for AI models, encompassing the entire workflow from data ingestion and preprocessing to model training, validation, serving, and ongoing performance monitoring.
• • Serving as a subject matter expert and technical mentor for junior engineers. You will guide them in adopting best practices for AI/ML platform development, efficient code management, and streamlined deployment processes, fostering a culture of continuous learning and improvement.
• • Collaborating closely with AI researchers to understand their model development needs and with software engineers to ensure seamless integration of ML models into existing or new applications. This involves optimizing performance and streamlining the end-to-end development and experimentation process.
• • Ensuring the utmost reliability, security, and performance of all AI systems under your purview. This includes implementing robust monitoring, logging, and alerting mechanisms.
• • Proactively staying ahead of the curve on emerging industry trends, new technologies, and innovative AI solutions. You will be encouraged to bring forward novel ideas and approaches to enhance our AI/ML capabilities.
• • Developing and maintaining infrastructure as code (IaC) using tools like Terraform or Ansible to ensure consistent, repeatable, and automated provisioning and management of cloud resources.
• • Implementing and managing containerization technologies such as Docker and orchestrating them with Kubernetes to efficiently manage and scale AI/ML workloads, ensuring high availability and resource optimization.
• • Driving the adoption and integration of AI development tooling, such as Claude, Cursor, or GitHub Copilot, to enhance developer productivity and model development efficiency.
• • Establishing and enforcing rigorous security protocols and best practices throughout the AI/ML infrastructure and deployment pipelines, safeguarding sensitive data and intellectual property.
• • Contributing to the overall strategy and roadmap for Revvity's AI/ML platform, ensuring it aligns with business objectives and technological advancements.
• • Troubleshooting complex issues across the AI/ML stack, from data pipelines to model serving endpoints, and implementing effective solutions.
• • Documenting architectural decisions, operational procedures, and best practices to ensure knowledge sharing and maintainability.
• • Participating in on-call rotations to provide timely support for critical production systems, ensuring minimal downtime and rapid resolution of incidents.
• • Evaluating and integrating new tools and technologies to continuously improve the efficiency, scalability, and reliability of our AI/ML infrastructure.
• • Fostering a collaborative environment where innovation thrives and technical challenges are met with creative and effective solutions.
• • Playing a key role in the evolution of our cloud strategy, particularly as it pertains to AI/ML services and infrastructure management.
• • Ensuring compliance with relevant industry regulations and internal policies regarding data privacy and security.
• • Contributing to the development of a high-quality, scalable, and maintainable codebase for the AI/ML platform itself.
• • Leading technical discussions and providing clear, concise explanations of complex technical concepts to both technical and non-technical stakeholders.
• • Championing a culture of operational excellence, continuous improvement, and proactive problem-solving within the engineering team.