Machine Learning Engineer

Overview

We’re seeking a highly experienced Principal MLOps Engineer (5–10 years) to lead the design, deployment, and optimization of scalable machine learning infrastructure. This role is ideal for someone with deep expertise in Kubernetes, cloud-native platforms, and production-grade ML systems who is passionate about driving MLOps best practices and enabling impactful AI solutions.

Key Responsibilities

• Architect, build, and maintain scalable MLOps pipelines for model training, deployment, and monitoring
• Partner with data scientists and engineers to productionize ML models
• Ensure system reliability, security, and compliance
• Implement infrastructure as code (Terraform, Helm)
• Define and enforce best practices for model governance and reproducibility

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
• 5...