* Design and implement end-to-end ML pipelines from data ingestion to model deployment
* Build and manage CI/CD pipelines for ML models (training, testing, deployment)
* Automate model monitoring, retraining, and performance optimization
* Collaborate with Data Scientists and Data Engineers for productionizing ML models
* Ensure scalability, reliability, and security of ML systems
* Manage model versioning, experiment tracking, and lifecycle management
* Implement best practices for governance, compliance, and reproducibility
Key Skills & Expertise
* Strong programming skills in Python
* Experience with ML frameworks : TensorFlow, PyTorch, Scikit-learn
* Hands-on experience with MLOps tools : MLflow, Kubeflow, Airflow, SageMaker, Azure ML
* Knowledge of CI/CD tools : Jenkins, GitHub Actions, GitLab CI
* Experience with cloud platforms : AWS
* Strong understanding of data pipelines, ETL processes, and distributed systems
#J-18808-Ljbffr
* Build and manage CI/CD pipelines for ML models (training, testing, deployment)
* Automate model monitoring, retraining, and performance optimization
* Collaborate with Data Scientists and Data Engineers for productionizing ML models
* Ensure scalability, reliability, and security of ML systems
* Manage model versioning, experiment tracking, and lifecycle management
* Implement best practices for governance, compliance, and reproducibility
Key Skills & Expertise
* Strong programming skills in Python
* Experience with ML frameworks : TensorFlow, PyTorch, Scikit-learn
* Hands-on experience with MLOps tools : MLflow, Kubeflow, Airflow, SageMaker, Azure ML
* Knowledge of CI/CD tools : Jenkins, GitHub Actions, GitLab CI
* Experience with cloud platforms : AWS
* Strong understanding of data pipelines, ETL processes, and distributed systems
#J-18808-Ljbffr
MLOps Engineer in scottsdale at Unknown Company
This position is listed as full time and onsite.