MLOps Engineer

Data & Infrastructure | Remote | Full Time

Description

As an MLOps Engineer at Jalopeura, you will specialize in the operationalization and lifecycle management of machine learning models, ensuring seamless deployment and performance.

Responsibilities

• Designs and implements end-to-end MLOps platforms and workflows for model deployment, monitoring, and retraining within Jalopeura.
• Develops CI/CD pipelines specifically tailored for machine learning models and data at Jalopeura.
• Automates model training, evaluation, versioning, and deployment processes for Jalopeura's AI initiatives.
• Establishes robust monitoring systems for model performance, data drift, and concept drift in production for Jalopeura.
• Collaborates with Jalopeura's ML engineers and data scientists to ensure models are production-ready and scalable.
• Manages model registries, feature stores, and experiment tracking systems used across Jalopeura.
• Implements infrastructure as code (IaC) for ML infrastructure provisioning within Jalopeura's cloud environment.
• Ensures compliance with security and governance standards for ML systems at Jalopeura.
• Troubleshoots production issues related to ML model serving and infrastructure within Jalopeura.
• Educates teams at Jalopeura on MLOps best practices and drives adoption of new tools and processes.