MLOps Engineer

Location: Remote; position associated with Sunnyvale / South Bay, California. Applicants must be authorized to work in the United States; new H-1B visa sponsorship is not available.

Salary: $115,000–$165,000 annually.

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Build automated pipelines for data validation, model training, evaluation, packaging, and deployment.
• Implement model versioning, experiment tracking, artifact management, and model registry workflows.
• Automate model deployment and serving with containers, orchestration platforms, and approved cloud services.
• Establish monitoring for model availability, latency, resource utilization, data quality, and model drift.
• Collaborate with data scientists, application engineers, and platform teams to improve reproducibility, reliability, and release governance.

Requirements

• 5+ years of experience in DevOps, machine learning engineering, or ML platform operations.
• Strong Python or comparable scripting skills and practical experience automating engineering workflows.
• Experience with Docker and Kubernetes or comparable container deployment technologies.
• Working knowledge of CI/CD, Git, infrastructure automation, and cloud-based deployment practices.
• Understanding of machine learning lifecycles, model packaging, experiment tracking, and model serving.
• Experience with monitoring, logging, troubleshooting, and production support for data or application services.
• Strong collaboration skills with data science, software development, and infrastructure teams.
• Experience in iterative software delivery teams, including planning, defect triage, and release validation as applicable.
• Direct W2 employment is required; C2C and 1099 arrangements are not accepted.

Nice to have

• Experience with MLflow, Kubeflow, SageMaker, Azure Machine Learning, or Vertex AI.
• Familiarity with feature stores, model registries, data and model drift monitoring, and pipeline orchestration.
• Exposure to Terraform, Helm, workflow schedulers, and scalable inference systems.
• Relevant cloud, Kubernetes, DevOps, or machine learning operations certification.

Culture & Benefits

• Remote full-time role within a collaborative technology consulting and software development environment.
• Opportunity to contribute to cloud, AI, data, and enterprise technology initiatives.
• Professional growth opportunities.
• Equal employment opportunity workplace.

Hiring process

• For immediate consideration, send a resume to Jenny@bvteck.com or contact Jennifer at (908) 505-3544.
• U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply; new H-1B petitions cannot be sponsored.