Director, MLOps

Location: United States, remote

Salary: $210K–$330K annually

Company

hirify.global is a specialist executive search firm focused on leaders who help organizations navigate AI transformation. This posting is for future opportunities and candidate-network consideration rather than one specific open role.

What you will do

• Own the end-to-end MLOps strategy and roadmap, including standards for model deployment, monitoring, and lifecycle management.
• Lead and mentor MLOps and platform engineering teams, set hiring standards, and drive technical growth and knowledge sharing.
• Partner with data science and ML engineering teams to design CI/CD pipelines, model registries, feature stores, and observability systems for production workloads.
• Make infrastructure decisions across cloud platforms, containerization, and orchestration while balancing cost, performance, and organizational maturity.
• Establish SLOs, monitor model and system health, and lead incident response and postmortem practices.
• Work with security and compliance teams on governance, data privacy, audit trails, and communicate infrastructure trade-offs to leadership.

Requirements

• 7+ years of experience in machine learning engineering, MLOps, or data engineering, including at least 3 years in a lead or senior-level platform or infrastructure role.
• Hands-on experience with ML deployment pipelines, Docker, Kubernetes, and orchestration tools such as Airflow or Kubeflow.
• Experience building or scaling MLOps teams and improving model time-to-production and operational reliability.
• Fluency with AWS, GCP, or Azure and infrastructure-as-code practices.
• Experience with model monitoring, versioning, and governance in production environments.
• Strong communication skills and the ability to explain technical complexity to non-technical stakeholders.

Culture & Benefits

• Remote work from the United States.
• Permanent opportunities focused on AI transformation leadership.
• Work across technology, financial services, healthcare, and manufacturing environments.