• Job ID:

  3030

• Job Title:

  AI/ML DevOps Engineer

• Location:

  Remote

• Duration:

  6 Months + Extension  

• Hourly Rate:

  Depending on Experience (DOE)

• Work Authorization:

  US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

• Client:

  To Be Discussed Later

• Employment Type:

  W-2, 1099, C2C

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Role: AI/ML DevOps Engineer
Bill Rate: $70/hour C2C
Location: Remote
Duration: 12+ months/ long-term
Interview Criteria: Telephonic + Teams
Direct Client Requirement

Job Description:
We are seeking a hands-on AIML DevOps Engineer to join our client’s growing AI/ML engineering team in Scottsdale, AZ. The ideal candidate will have strong experience in cloud-based MLOps, automation, and DevOps practices, with the ability to deploy, monitor, and scale AI/ML models efficiently in production environments.

Key Responsibilities
Design, build, and maintain ML pipelines for training, testing, and deploying AI/ML models.
Manage and optimize cloud-based ML infrastructure using GCP Vertex AI, AWS SageMaker, or similar services.
Develop and manage CI/CD pipelines for AI/ML applications ensuring automated deployment and version control.
Implement observability and monitoring for model performance, system health, and resource utilization.
Automate end-to-end workflows for data ingestion, model training, deployment, and monitoring.
Work cross-functionally with data scientists, ML engineers, and software developers to ensure scalable and secure operations.
Apply MLOps best practices for reproducibility, model governance, and continuous improvement.

Required Skills & Experience:
6+ years of experience in DevOps / CloudOps / MLOps roles.
Strong experience with GCP AI/ML services (Vertex AI, BigQuery ML, AI Platform) or AWS ML stack (SageMaker, etc.).
Hands-on experience with containerization and orchestration tools – Docker, Kubernetes.
Proficiency in Infrastructure-as-Code tools – Terraform, CloudFormation, or Deployment Manager.
Expertise in CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or ArgoCD.
Programming experience in Python, Bash, or Go, including ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
Strong understanding of DevOps automation, security, and scalability in AI/ML production systems.

NOTE: Thank you for visiting our jobs page. Please submit your application using the Apply Now link. Our recruitment team is currently reviewing all applications thoroughly. We will be in touch with candidates who are shortlisted for the next stage of the interview process.

Valiant Technologies LLC
166 Geary St
San Francisco, CA 94108 


Apply Now