Lead MLOps/DevOps Engineer

Job Summary

As a full-time remote Lead MLOps/DevOps Engineer on the Generative AI team, the successful candidate will design, build, and maintain scalable data and ML pipelines while automating infrastructure provisioning and collaborating with cross-functional teams to operationalize machine learning models.

Key responsibilities

• Design and maintain scalable data and ML pipelines using tools like Terraform and GitHub Actions
• Automate infrastructure provisioning with cloud-native services, primarily in AWS
• Collaborate with Data Scientists and ML Engineers to implement CI/CD pipelines for model deployment

Required qualifications

• 8+ years of experience in DataOps, MLOps, or related fields, with 3+ years focused on ML model operationalization
• Proficiency in AWS services such as EC2, S3, and EKS
• Experience with infrastructure as code (IaC) tools like Terraform and CloudFormation
• Strong scripting and automation skills using Python or GitHub workflows
• A bachelor's degree in computer science or a related discipline, or equivalent hands-on experience