AIML DevOps Engineer

We are seeking a
hands-on AIML Dev Ops 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
Dev Ops
practices, with the ability to deploy, monitor, and scale AI/ML models efficiently in production environments.

• 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 Sage Maker
  , 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.

• 6+ years
  of experience in Dev Ops / Cloud Ops / MLOps
  roles.
• Strong experience with
  GCP AI/ML services
  (Vertex AI, Big Query ML, AI Platform) or
  AWS ML stack
  (Sage Maker, etc.).
• Hands-on experience with
  containerization and orchestration
  tools –
  Docker, Kubernetes
  .
• Proficiency in
  Infrastructure-as-Code
  tools –
  Terraform, Cloud Formation, or Deployment Manager
  .
• Expertise in
  CI/CD pipelines
  using
  Jenkins, Git Lab CI, Git Hub Actions, or ArgoCD
  .
• Programming experience in
  Python, Bash, or Go
  , including ML frameworks such as
  Tensor Flow, PyTorch, Scikit-learn
  .
• Strong understanding of Dev Ops automation, security, and scalability
  in AI/ML production systems.

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract