AIML DevOps Engineer Dallas - TX - Texas

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 month(s)

Skills

GCP AI/ML services
AWS ML services
Containerization and orchestration
Infrastructure-as-code
CI/CD pipelines
Programming skills in Python
Bash
or Go

Job Details

Dallas TX

Job Description:

>> Design, implement, and maintain ML pipelines for training, testing, and deploying AlML models.

>> Manage and optimize cloud-based ML infrastructure (Google Cloud Platform Vertex AI, AWS SageMaker, or equivalent).

>> Implement CICD pipelines for ML and Al-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.

Requirements:

>> 5+ years experience in DevOps, CloudOps, or ML

>> 5+ years experience with Google Cloud Platform AIML services (Vertex Al, Al 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 CICD 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)

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.