Senior Machine Learning Engineer

Speedcast is seeking a Senior Machine Learning Engineer to own the end-to-end machine learning lifecycle on our modern data lakehouse platform. You will design, build, deploy, and monitor ML models for network telemetry and business data, focusing on areas like forecasting and anomaly detection. This role involves setting technical standards, mentoring junior engineers, and collaborating with data engineers to productionize models on AWS.

• Design, build, evaluate, and deploy ML models (forecasting, anomaly detection)
• Build and maintain feature and training-data pipelines on a lakehouse platform
• Own MLOps practices end-to-end: experiment tracking, CI/CD, monitoring
• Define and promote ML development and governance standards
• Translate business problems into ML solutions and communicate impact
• Mentor AI Engineers and collaborate with data engineers on AWS

• No visa sponsorship is available.

• Must be authorized to work without sponsorship.