Machine Learning Operations (MLOps) Engineer
Core
Build and manage infrastructure and processes to support the ML lifecycle, bridging the gap between model development and production deployment.
Role type
MLOps Engineer
Builds
CI/CD pipelines, training/deployment infrastructure, automated ML workflows, monitoring systems
Domain
Artificial Intelligence / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, Bash, Terraform, Ansible, AWS, Azure, GCP, Docker, Kubernetes, CI/CD principles, ML frameworks
Responsibilities
Design and maintain CI/CD pipelines for ML models; Develop and manage infrastructure for training, deploying, and monitoring ML models at scale; Automate ML workflows including data ingestion, feature engineering, model training, and evaluation; Implement robust monitoring, logging, and alerting systems for ML model performance and health; Troubleshoot and resolve issues related to the ML production environment
