MLOps Engineer - Platform
Core
Build and maintain the machine learning platform infrastructure, tooling, and pipelines to operationalize research models for production in Entrupy's AI authentication systems.
Role type
Mid-level MLOps Engineer (Platform)
Builds
ML training/inference infrastructure, job orchestration systems, internal dashboards, and annotation tools for Entrupy's authentication products.
Domain
AI/ML infrastructure for luxury goods authentication (Apparel, Bags, Sneakers, Fingerprinting)
Deliverable
production ML models | product features | infrastructure
Required skills
Python, software engineering best practices, cloud platforms (AWS), containerization (Docker), CI/CD, data pipeline orchestration, monitoring setup
Preferred skills
Job schedulers (Airflow), model monitoring (Prometheus, Grafana), experiment tracking (MLflow, Weights & Biases), Infrastructure-as-Code (Terraform), Anyscale Ray
Technologies
AWS, Docker, Python, Airflow, Prometheus, Grafana, MLflow, Weights & Biases, Terraform, Anyscale Ray
Responsibilities
Design and maintain data/training pipelines and job orchestration systems; Build interfaces and tools for ML researchers and engineers; Operationalize research models from prototype to production; Develop automated testing and integration rollouts; Collaborate with infrastructure teams on provisioning and deployment workflows.
Seniority
Mid-level, hands-on IC