Senior MLOps Engineer

Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope

Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities

Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards

Use big data technologies to help process data and build scaled data pipelines (batch to realtime)

Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines

Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure

• Automate ML models deployments