Machine Learning Engineer

Role : MLOps Engineer Location : Scottsdale AZ (Onsite) Indents : We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliability, automation, and governan c e. Key Responsibilit iesDesign and implement end-to-end ML pipelines from data ingestion to model deploym entBuild and manage CI/CD pipelines for ML models (training, testing, deployme nt)Automate model monitoring, retraining, and performance optimizat ionCollaborate with Data Scientists and Data Engineers for productionizing ML mod elsEnsure scalability, reliability, and security of ML syst emsManage model versioning, experiment tracking, and lifecycle managem entImplement best practices for governance, compliance, and reproducibil ity Key Skills & Exper tiseStrong programming skills in Py thonExperience with ML frameworks: TensorFlow, PyTorch, Scikit-l earnHands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azur e MLKnowledge of CI/CD tools: Jenkins, GitHub Actions, GitLa b CIExperience with cloud platforms: AWSStrong understanding of data pipelines, ETL processes, and distributed sys tems