DevOps Engineer AI Foundry (Python Expert)

Overview

Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 day((s))

Skills

CI
CD
APIs
DevOps
MLOps

Job Details

Position: DevOps Engineer AI Foundry (Python Expert)
Location: Dallas, TX (Onsite / Hybrid)

Key Responsibilities:

  • Design, build, and automate CI/CD pipelines for AI/ML applications using AI Foundry, Jenkins, or GitHub Actions.
  • Develop Python-based automation scripts, APIs, and frameworks to streamline model deployment and monitoring.
  • Collaborate with data scientists and ML engineers to operationalize AI models.
  • Manage containerized environments using Docker and Kubernetes (EKS, AKS, or GKE).
  • Implement Infrastructure as Code (IaC) with Terraform, Ansible, or CloudFormation.
  • Deploy and monitor models across cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Apply MLOps best practices for continuous integration, versioning, and retraining of AI models.
  • Ensure system reliability, scalability, and compliance through automation and observability tools.

Required Skills:

  • 7+ years of experience in DevOps / MLOps / AI infrastructure engineering.
  • Advanced Python programming for automation and API development.
  • Hands-on experience with AI Foundry (Palantir, DataRobot, or similar).
  • Strong experience with Kubernetes, Docker, CI/CD tools, and cloud deployment.
  • Familiarity with ML model deployment frameworks (MLflow, SageMaker, Kubeflow).
  • Proficiency with Terraform, Helm, or Ansible for infrastructure automation.
  • Excellent collaboration, communication, and problem-solving skills.

Preferred Qualifications:

  • Experience with AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn).
  • Exposure to LLM or GenAI model deployment.
  • Certifications in AWS DevOps, Kubernetes (CKA/CKAD), or MLOps.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.