VP, ML Engineering (MLOps)

Location: United States, remote

Compensation for senior-level MLOps leadership: $210,000–$330,000 annually

Company

hirify.global is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.

What you will do

• Own the end-to-end MLOps strategy and infrastructure roadmap, including CI/CD pipelines, model governance, and production monitoring.
• Build and lead MLOps and platform engineering teams, setting technical direction and operational standards.
• Partner with data science, machine learning, and software engineering teams to reduce time-to-model and improve deployment velocity.
• Standardize tooling, frameworks, and best practices across model training, validation, and deployment workflows.
• Establish observability, monitoring, and incident response protocols for model performance and system reliability at scale.
• Evaluate MLOps tools and platforms, balancing cost, scalability, team capability, and business impact.

Requirements

• 8+ years of experience building and operating machine learning systems in production.
• At least 3 years in a leadership or architect role.
• Experience designing and scaling MLOps platforms, including versioning, containerization with Docker and Kubernetes, orchestration, and deployment automation.
• Hands-on experience with ML monitoring, model registries, feature stores, and real-world data pipelines.
• Track record of building and developing engineering teams, mentoring engineers, and setting technical standards.
• Strong communication skills with the ability to explain complex ML infrastructure concepts to technical and non-technical stakeholders.

Culture & Benefits

• Remote work within the United States.
• Focus on infrastructure reliability, operational excellence, and measurable AI transformation outcomes.
• Opportunity to connect MLOps improvements with business metrics and risk mitigation.