Machine Learning Operations Engineer

We are seeking an experienced Machine Learning Operations (MLOps) Engineer to join our team and build the infrastructure that powers AI and machine learning at K1X.

Requirements

• Design and build scalable ML infrastructure to support model training, evaluation, and deployment.
• Develop and maintain containerized environments using Docker and Kubernetes.
• Build and manage distributed training pipelines and orchestration workflows.
• Implement and maintain ML lifecycle tooling such as MLflow for experiment tracking and reproducibility.
• Own production inference systems, including NVIDIA Triton Inference Server.
• Design and operate low-latency, high-availability model serving architectures.
• Implement CI/CD pipelines for ML deployment, versioning, and rollback strategies.
• Build and maintain data pipelines integrated with Snowflake and related data systems.
• Implement monitoring, logging, and alerting for model performance, drift detection, and system health.
• Partner with ML Engineers to improve developer experience and accelerate delivery.

Benefits

• Unlimited Vacation Policy + Sick Time
• Fully Remote Opportunity
• Benefits/401K
• Growing Startup Culture
• Unlimited Vacation Policy + Sick Time + Holidays
• Paid Parental Leave
• Fully Remote Opportunity
• Healthcare Benefits and 401K