Manager, Machine Learning Engineer

About the role

The Manager, Machine Learning Engineer leads the development and implementation of AI/ML solutions, collaborating with various teams to align with business objectives and enterprise standards. They are responsible for establishing engineering practices, frameworks, and platform capabilities to enhance scalability and efficiency.

Responsibilities

• Provides leadership in hiring, coaching, talent development, performance management, and compensation decisions in accordance with Human Resources policies and procedures.
• Promotes AI/ML solution architectures and translates strategic initiatives into actionable plans, overseeing the design, implementation, and evolution of data, feature, and model pipelines.
• Manages cross-functional teams to deliver AI/ML solutions aligned with business objectives and enterprise standards.
• Applies expertise in machine learning, statistics, optimization, and experimentation methodologies to operationalize predictive and decision-support capabilities.
• Evaluates data quality, feature readiness, and model inputs in partnership with Data Science teams to support successful model development and deployment.
• Drives operational excellence through automation, observability, monitoring, incident management, and continuous improvement practices for production AI/ML systems.
• Ensures adherence to enterprise governance, security, risk, compliance, and model lifecycle management requirements.
• Engages business and technology stakeholders to understand objectives, assess opportunities, and translate complex requirements into actionable technical solutions.
• Supports departmental planning, prioritization, and execution of strategic objectives while balancing delivery commitments, operational needs, and organizational goals.
• Establishes scalable operating models, support processes, and service standards that enable long-term sustainability of AI/ML products and platforms.
• Communicates technical strategy, solution recommendations, delivery progress, and business impact to senior technology and business leaders.
• Participates in special projects and performs other duties as assigned.

Qualifications

• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
• Minimum of eight years related work experience.