MLOps Engineer

Artmac Soft is a technology consulting and service‑oriented IT company that provides innovative technology solutions and services to customers.

Job Type: W2/C2C • Location: Prosper, Texas • Experience Required: 8+ years

Responsibilities

• 8+ 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 inference.
• Design, 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.

Qualifications

• Bachelor’s degree or equivalent combination of education and experience.