Director, Engineering - Innovation

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KPMG is currently seeking a Director, Engineering - Innovation to join our Digital Nexus Technology organization. This is a remote work opportunity.

Responsibilities :

Develop and implement a comprehensive strategy for the Foundational Model Operations Group, aligned with business objectives and industry best practices;

provide strategic leadership to the team, inspiring and motivating them to achieve operational excellence in generative AI model development and management

• Collaborate with senior executives and key stakeholders to align model operations with business goals, identify opportunities for improvement, and drive organizational change where necessary
• Oversee the development and deployment of generative AI models, ensuring adherence to best practices, quality standards, and regulatory requirements;

define and implement processes for efficient model development, testing, validation, and deployment, ensuring scalability and reliability

• Liaise with research and engineering teams to facilitate the seamless integration of models into production systems; establish and maintain processes for monitoring and evaluating model performance, accuracy, and compliance throughout the model lifecycle
• Implement robust governance mechanisms to manage version control, documentation, and model retraining to ensure optimal performance and mitigate risks;

improve model operations processes, leveraging automation and tooling to streamline workflows and enhance efficiency

• Lead, mentor, and develop a high-performing team of data scientists, engineers, and operations specialists, fostering a collaborative and inclusive work environment;
• define clear goals and performance expectations, conduct regular performance reviews, and provide guidance and support for professional growth;

promote a culture of innovation, continuous learning, and knowledge sharing within the team and across the organization

Qualifications :

• Minimum ten years of recent experience in data science, machine learning, or AI-related roles, with at least five years in a leadership capacity
• Bachelor's degree from an accredited college or university is preferred
• Strong expertise in generative AI models, deep learning frameworks, and model deployment in production environments
• Proven track record of successfully leading and managing large-scale model operations or data science teams
• In-depth knowledge of model governance, monitoring, and evaluation practices, as well as regulatory considerations
• Excellent communication and stakeholder management skills, with the ability to influence and collaborate with diverse teams and senior executives;

demonstrated capability to drive strategic initiatives, prioritize effectively, and deliver results in a fast-paced, dynamic environment

Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future

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