AI Engineering Manager (ML)

Location: United States · Remote

Compensation: $200K–$340K annually

Company

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

What you will do

• Lead and grow an ML engineering team, including hiring, mentorship, and career development.
• Design and deliver ML infrastructure, training pipelines, production deployment systems, and monitoring.
• Set technical roadmaps, evaluate build-versus-buy decisions, manage technical debt, and align engineering work with business outcomes.
• Partner with data scientists and product teams to turn model research into robust, scalable production systems.
• Establish reproducibility, versioning, testing, and observability practices across the organization.
• Own incident response, reliability, quarterly roadmaps, KPI tracking, and communication of ML engineering impact to leadership.

Requirements

• 7+ years of ML engineering or infrastructure experience, including at least 2 years in management or technical leadership.
• Experience shipping and operating production ML systems at scale, including model deployment, feature stores, or retraining pipelines.
• Strong knowledge of ML fundamentals and proficiency in Python or similar languages.
• Hands-on experience with PyTorch, TensorFlow, and scikit-learn.
• Ability to lead, mentor, hire, and manage the performance of engineering teams through ambiguity.
• Familiarity with AWS SageMaker, Google Vertex, Azure ML, Docker, or Kubernetes, plus the ability to communicate technical trade-offs clearly.

Culture & Benefits

• Permanent remote work from the United States.
• Future-opportunity candidate network rather than a single currently open role.
• Potential roles span technology, financial services, manufacturing, and healthcare organizations.