DevOps Engineer

Programmers.io is currently looking for an AI/ML DevOps Engineer Onsite Role in Richardson, Texas, United States OPEN FOR C2C OR W2 About the Role We are seeking a highly skilled AIML DevOps Engineer to join our growing team. You will work closely with DevOps engineers, data scientists, ML engineers, and software developers to build, deploy, and scale machine learning models and AI-driven applications in production environments. Key Responsibilities • Design, implement, and maintain ML pipelines for training, testing, and deploying AI/ML models. • Manage and optimize cloud-based ML infrastructure (GCP Vertex AI, AWS SageMaker, or equivalent). • Implement CI/CD pipelines for ML and AI-driven applications. • Monitor, troubleshoot, and optimize model performance and system reliability. • Automate workflows for data ingestion, model training, deployment, and monitoring. • Collaborate with cross-functional teams to ensure secure, scalable, and compliant ML operations. • Apply MLOps best practices for reproducibility, versioning, and governance of ML models. Required Qualifications • 5+ years experience in DevOps, CloudOps, or ML Ops. • 5+ years experience with GCP AI/ML services (Vertex AI, AI Platform, BigQuery ML) or AWS ML services (SageMaker etc) • 5+ years Experience with containerization and orchestration (Docker, Kubernetes). • Proficiency in infrastructure-as-code (Terraform, CloudFormation, or Deployment Manager). • Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or ArgoCD). • Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn). If you are interested, please apply or feel free to share your updated resume at anas.khan@programmers.io