Principal DevOps Engineer, AI/ML Infrastructure

Posted Oct 21

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Design, architect, and oversee the development of scalable, secure, and resilient infrastructure tailored for AI/ML workloads.

• Create and manage CI/CD pipelines for AI models, encompassing data ingestion, model serving, and monitoring.

• Serve as a subject matter expert while mentoring junior engineers.

• Promote best practices in AI/ML platform development, code management, and deployment processes.

• Collaborate closely with AI researchers and software engineers to enhance performance and streamline both development and experimentation.

• Guarantee the reliability, security, and performance of AI systems.

• Keep abreast of industry trends and implement innovative AI solutions.

• Integrate and orchestrate the complete lifecycle of AI and ML projects, connecting researchers with software development teams.


⛳️ Requirements

• Over 5 years of experience in DevOps, ML Infrastructure, or Platform Engineering, including a significant duration in a senior or leadership role.

• More than 5 years of extensive, expert-level knowledge in at least one major cloud provider (e.g., AWS, Azure, or GCP), particularly in AI/ML and containerization services.

• At least 5 years of practical experience with ML orchestration and platform tools such as Kubeflow, MLflow, or Amazon SageMaker.

• 5-8 years of in-depth expertise with Docker and Kubernetes for managing and scaling AI/ML workloads.

• 5-8 years of strong programming skills in Python, Go, or Bash for automation purposes.

• Proficient in using Terraform or Ansible.

• Experience in constructing automated CI/CD pipelines utilizing GitHub Actions, GitLab CI/CD, or Jenkins.

• A valid LinkedIn profile and relevant work links included in the resume.

• Willingness to interview in person at the headquarters located in Waltham, MA, USA.

• Availability to work during EST hours.

• Must reside in the US and be eligible for remote work.


🏝️ Benefits

• Options for Medical, Dental, and Vision Insurance.

• Life and Disability Insurance coverage.

• Paid Time-Off benefits.

• Parental leave benefits.

• Compassionate Care Leave availability.

• 401k plan with company matching contributions.

• Employee Stock Purchase Plan.

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