MLOps Engineer

Role : MLOPS EngineerLocation : Scottsdale AZ (Onsite)Key ResponsibilitiesDesign and implement end-to-end ML pipelines from data ingestion to model deploymentBuild and manage CI/CD pipelines for ML models (training, testing, deployment)Automate model monitoring, retraining, and performance optimizationCollaborate with Data Scientists and Data Engineers for productionizing ML modelsEnsure scalability, reliability, and security of ML systemsManage model versioning, experiment tracking, and lifecycle managementImplement best practices for governance, compliance, and reproducibilityKey Skills & ExpertiseStrong programming skills in PythonExperience with ML frameworks: TensorFlow, PyTorch, Scikit-learnHands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure MLKnowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CIExperience with cloud platforms: AWSStrong understanding of data pipelines, ETL processes, and distributed systems