VP, ML Engineering

Location: United States — Remote

Salary: $210,000–$330,000 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 adds qualified candidates to a candidate network.

What you will do

• Design, implement, and evolve ML infrastructure, platforms, and deployment pipelines for rapid model development and production inference at scale.
• Build and lead an MLOps engineering team while setting technical direction and engineering best practices.
• Partner with data science, ML engineering, and product teams to reduce model-to-production time and operational burden.
• Standardize model versioning, experiment tracking, feature stores, and reproducibility across the organization.
• Develop monitoring, observability, incident response, model degradation detection, and automated alerting for production ML systems.
• Optimize compute, storage, and ML service costs while evaluating platforms such as Kubernetes, Airflow, feature platforms, and model registries.

Requirements

• 8+ years of experience in ML engineering, platform engineering, or DevOps, including 3+ years leading engineering or platform teams.
• Production-scale experience with model training pipelines, inference serving, monitoring, and deployment orchestration.
• Hands-on expertise with Docker, Kubernetes, CI/CD tooling, software engineering principles, and DevOps practices.
• Experience recruiting, developing, mentoring, and retaining high-performing engineering teams.
• Strong communication skills and the ability to work with executives, product leaders, and data science leadership.

Culture & Benefits

• Permanent remote work from the United States.
• Opportunity to lead ML infrastructure strategy and influence tooling decisions across the ML organization.
• Future-opportunity candidate network managed by a specialist executive search firm.