Head of AI & Machine Learning

BlueSteps Connect; United States; On-site; USD 180,000 - 280,000; Full time

Job summary

BlueSteps Connect is seeking a Head of AI & Machine Learning to lead the organization’s AI strategy and oversee the execution of machine learning initiatives at scale. The role focuses on setting technical direction, aligning projects with business goals, and delivering high-impact models.

You will mentor teams, drive best practices in engineering and research, and collaborate with stakeholders to translate requirements into production-ready systems.

Responsibilities

• Driving the development and deployment of machine learning solutions.
• Establishing engineering and research best practices.
• Coordinating cross-functional efforts to translate requirements into actionable models and systems.
• Evaluating opportunities for new AI use cases and improving existing capabilities.
• Mentoring and managing technical talent; communicating across teams; balancing innovation, performance, and reliability.

Job description

The client is seeking a Head of AI & Machine Learning to lead and oversee the organization’s AI and machine learning strategy and execution. This role typically involves setting technical direction, guiding teams, and ensuring that AI initiatives are delivered with appropriate quality, scalability, and business alignment.

Responsibilities typically include driving the development and deployment of machine learning solutions, establishing engineering and research best practices, and coordinating cross-functional efforts to translate requirements into actionable models and systems. The role may also include evaluating opportunities for new AI use cases, improving existing capabilities, and supporting stakeholders with clear technical guidance and outcomes.

The ideal candidate is expected to have strong leadership experience in AI and machine learning, along with a solid understanding of machine learning concepts and their practical application in production environments. The role will typically require the ability to mentor and manage technical talent, communicate effectively across teams, and make sound decisions that balance innovation, performance, and reliability.