Job Description

SimpliSafe is seeking an experienced MLOps Engineer to drive the development and deployment of machine learning models, optimize ML workflows, and ensure scalable, reliable, and secure infrastructure. The role focuses on automation, cloud technology, and delivering high-impact solutions within a collaborative and agile environment.

Responsibilities

• Lead architecture, deployment, and optimization of ML model serving systems
• Collaborate with data scientists and engineers to operationalize ML models
• Develop CI/CD pipelines for ML models
• Design and implement production monitoring for ML models
• Manage cloud infrastructure to support ML workloads
• Drive best practices in model versioning and deployment reliability
• Serve in an on-call rotation

Requirements

• 5+ years of experience in software/data engineering with 3+ years in MLOps
• Hands-on experience with AWS or similar public clouds
• Experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code
• Proficiency in Python and machine learning frameworks
• Solid understanding of ML lifecycle management
• LLM application development experience
• Strong communication skills

Benefits

• No benefits