MLOps Engineer

Who We AreArtmac Soft is a technology consulting and service-oriented IT company that provides innovative technology solutions and services to customers.Job DescriptionJob Title : MLOps EngineerJob Type : W2/C2CExperience : 8+ YearsLocation : Prosper, TexasResponsibilities8+ years of experience in MLOps, DevOps, ML Engineering, or a related field.Strong hands-on experience with Docker and Kubernetes.Experience with MLflow or comparable ML lifecycle management platforms.Experience deploying and managing machine learning models in production.Experience with model monitoring, logging, observability, and performance optimization.Experience with Kubernetes-based ML platforms and model-serving frameworks.Experience with cloud-native ML services and managed Kubernetes platforms.Hands-on experience with Terraform and Infrastructure as Code.Experience with at least one major cloud platform such as AWS, Azure, or Google Cloud.Strong understanding of CI/CD pipelines and automation.Good understanding of Python, Linux, Git, and scripting.Understanding of REST APIs, microservices, containers, and cloud-native architectures.Familiarity with Kubeflow, Argo CD, Airflow, or similar tools.Knowledge of data and model security, governance, and compliance.Familiarity with GPU-based workloads and scalable model inferenceDesign, build, and maintain scalable MLOps infrastructure and machine learning deployment pipelines.Implement and manage ML model lifecycle workflows using MLflow or similar platforms.Deploy, scale, and manage machine learning models across development, staging, and production environments.Implement model and infrastructure monitoring, logging, alerting, and performance tracking.Use Terraform / Infrastructure as Code (IaC) to provision and manage cloud infrastructure.Troubleshoot deployment, infrastructure, model-serving, and performance issues.QualificationBachelor's degree or equivalent combination of education and experience.