MLOps Engineer

Location: Remote within the United States; locations listed as Renton, Washington and Bridgewater, New Jersey

Company

hirify.global is a software development company building automation and optimization solutions through MLOps and cloud engineering.

What you will do

• Build and maintain machine learning pipelines for production environments.
• Deploy and monitor machine learning models at scale.
• Develop CI/CD pipelines and infrastructure automation.
• Operate containerized workloads using Docker and Kubernetes.
• Work with AWS, Azure, or GCP cloud platforms and Infrastructure as Code using Terraform.

Requirements

• 3–5 years of relevant professional experience.
• Experience with MLOps, Python, machine learning pipelines, model deployment, and model monitoring.
• Knowledge of TensorFlow, PyTorch, MLflow, feature stores, data versioning, Linux, Git, and Agile methodologies.
• Strong technical skills and successful completion of a coding test.
• Must be eligible to work in the United States under OPT, CPT, H-4 EAD, TN, E-3, or another non-immigrant visa, with interest in H-1B sponsorship.
• No C2C, 1099, or third-party company arrangements.

Culture & Benefits

• Remote full-time employment with hirify.global.
• Career growth opportunities within an established organization.
• Inclusive workplace and equal employment opportunity commitment.
• Reasonable accommodations are available during the recruitment process.

Hiring process

• A coding test is required for every role.
• Applications should include a resume and be submitted for technical evaluation.