MLOps Engineer (AI Platform) - Remote

Overview

Are you ready to move beyond maintaining legacy systems and build something truly new? What if your next role gave you the keys to architect an entire AI platform from the ground up, powering systems that serve millions of users? We're looking for a foundational MLOps leader to design, build, and own the infrastructure that will define the future of our AI capabilities.

In Short

• Architect and build the automated, scalable infrastructure for AI models.
• Make key technical decisions for machine learning operations.
• Collaborate with researchers, data scientists, and engineers.
• Champion automation, governance, and performance in AI/ML initiatives.
• Design and implement MLOps infrastructure on AWS using Terraform.
• Build and own CI/CD pipelines with GitLab and Jenkins.
• Containerize ML models with Docker and deploy on Kubernetes.
• Establish a culture of observability with tools like Prometheus and Grafana.
• Drive technical strategy and ownership in a critical infrastructure role.

Requirements

• Experience in MLOps and building scalable systems.
• Proven track record in operating critical infrastructure.
• Familiarity with AWS, Terraform, and CI/CD tools.
• Knowledge of Docker and Kubernetes for container orchestration.
• Strong problem-solving and strategic thinking skills.
• Ability to collaborate effectively with cross-functional teams.

Benefits

• Autonomy to build ML platform from scratch.
• Opportunity to make a career-defining impact.
• Work with cutting-edge AI technologies.
• Collaborate with world-class professionals in the field.