Machine Learning Engineer

Requirements:

• 6+ years of strong hands-on software/platform engineering experience.
• Strong programming skills in Python.
• Deep hands-on experience with Kubernetes, containers, and Linux.
• Experience building or operating large-scale distributed systems or platform infrastructure.
• Strong understanding of cloud infrastructure, including compute, storage, and networking.
• Experience building production-grade CI/CD and automation platforms.
• Experience with workflow orchestration such as Apache Airflow or equivalent systems.
• Experience with ML lifecycle tooling such as MLflow or equivalent platforms.
• Strong understanding of ML training and deployment workflows.
• Experience with Infrastructure as Code, preferably Terraform.
• Strong debugging and production troubleshooting skills.
• Experience building systems with monitoring, logging, metrics, and alerting.
• Strong fundamentals in system design, reliability, and distributed computing.