Senior Machine Learning Engineer
Core
Design and implement end-to-end MLOps pipelines and scalable data/feature engineering workflows for production-grade machine learning solutions.
Role type
Senior IC MLOps engineer (Azure/Databricks)
Builds
Scalable, secure, production-grade machine learning pipelines and data engineering workflows
Domain
Technology Advisory / Cloud-native ML infrastructure
Deliverable
production ML models
Required skills
MLOps pipeline design, Databricks (Delta Lake, MLflow, Spark), Azure ecosystem (Azure ML, ADLS, AKS, DevOps), CI/CD automation, model lifecycle management, feature engineering, algorithm selection, model evaluation
Preferred skills
None stated
Technologies
Databricks, MLflow, Apache Spark, Azure Machine Learning, Azure Data Lake, Azure Kubernetes Service, Azure DevOps, GitHub Actions
Responsibilities
Design and implement end-to-end MLOps pipelines; Build and manage scalable data and feature engineering pipelines; Automate model lifecycle processes including training, testing, deployment, and monitoring; Implement CI/CD workflows; Serve as primary technical lead for client engagements focused on ML solution delivery; Convert data science prototypes into robust, scalable ML solutions
Seniority
Senior, hands-on IC