MLOps Engineer

Hello, My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website . If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position Role : MLOps Engineer Location : Scottsdale AZ (100% Onsite) Hire Type : Contract / Full time No of roles - 7 MLOps Engineer Role Overview 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 governance. Key Responsibilities 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 Show more Show less