Senior Machine Learning Operations Engineer

AgZen, a fast-growing precision agriculture company built on MIT research, is hiring a Senior MLOps Engineer to join their perception team. The role focuses on owning the operational layer around machine learning models, including building large-scale data pipelines, ensuring model traceability, monitoring drift, and improving their computer vision and recommendation systems. This is an in-person role based in Somerville, MA (Boston area).

• Own architecture, execution, and operational excellence of large-scale cloud-native pipelines for multimodal sensor data ingestion, processing, labeling, and validation.
• Champion model traceability by building clear lineage for every production model, tracking training data, code, validation, and performance.
• Evaluate and recommend tooling for versioning, metadata, and model registry.
• Partner with data scientists to detect data quality issues, upstream drift, and feature freshness problems.
• Build diagnostic tooling and dashboards to quickly root-cause pipeline and recommendation issues.
• Own automated gates that block bad deployments and support model issue retrospectives.
• Coordinate with ML engineers and stakeholders on post-deployment metrics.

• Bachelor's or graduate degree in Computer Science, Electrical Engineering, or a closely related field.
• 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems.