Machine Learning Ops Engineer
Core
Build, deploy, and maintain machine learning pipelines supporting model training, testing, and production deployment.
Role type
Machine Learning Ops Engineer
Builds
Automated training, deployment, and monitoring pipelines for production ML solutions
Domain
Telecommunications / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, machine learning engineering, MLOps, data engineering, feature engineering, distributed data processing, CI/CD frameworks, Databricks, MLflow, Spark
Responsibilities
Build and maintain ML pipelines for training, testing, and production; Develop and optimize feature engineering workflows and feature stores; Automate model deployment, monitoring, and retraining processes; Monitor production model performance and improve accuracy, efficiency, and reliability; Support model governance through documentation, auditability, and lifecycle management; Troubleshoot production issues and enhance models as scam patterns evolve; Contribute to machine learning standards, frameworks, and best practices