MACHINE LEARNING ENGINEER
Core
Design, develop, test, deploy, and monitor end-to-end machine learning pipelines in Azure to support pricing decisions, personalize customer experiences, and optimize operations.
Role type
Machine Learning Engineer (MLOps focus)
Builds
Production ML models and MLOps pipelines for SAS Digital & IT
Domain
Aviation / Cloud Infrastructure (Azure)
Deliverable
production ML models
Required skills
Python, SQL, Git, Bash, Azure ML, Azure Databricks, Azure Data Factory, Terraform, CI/CD, model monitoring, hyperparameter tuning
Preferred skills
Generative AI, LLMs, AI agents
Technologies
Azure, Azure ML, Azure Databricks, Azure Data Factory, Terraform
Responsibilities
Design and develop end-to-end ML pipelines; Apply MLOps best practices (CI/CD, version control); Monitor model performance and detect drift; Support automation of training and deployment; Troubleshoot production ML systems; Contribute to ML engineering best practices.
Seniority
Mid-level (2-5 years experience)