Director of Machine Learning (3966)

About GBG

Enabling safe and rewarding digital lives for genuine people everywhere

We make it our mission to ensure more genuine people have digital access to opportunities and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.

With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age location or background genuine people everywhere should be able to digitally prove who they are and where they live.

About the team and role

CVML Teams

At the heart of GBGs Documents and Biometrics portfolio our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology our daily operations focus on efficiency through automation.

Director Machine Learning

The Director of Machine Learning provides strategic technical and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the longterm AI/ML vision and roadmap translating business and product strategy into impactful ML capabilities and ensuring the reliable ethical and scalable delivery of ML models into production.

The Director operates as both a senior technical authority and an organizational leader driving innovation mentoring teams influencing stakeholders and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision strong leadership capability and the ability to operate effectively across product engineering operations compliance and executive leadership functions..

What you will do

Strategic Leadership & Vision

• Define own and execute the longterm AI and Machine Learning strategy for the Documents & Biometrics domain aligned with company objectives and product roadmaps.
• Identify opportunities where machine learning can materially improve classification extraction fraud detection image processing and overall product performance.
• Serve as a thought leader for AI/ML within the organization advocating for modern approaches emerging technologies and best practices.

Technical & Delivery Leadership

• Provide handson technical leadership across the full ML lifecycle including research model design experimentation validation deployment and continuous improvement.
• Raise the bar for technical excellence while fostering an inclusive highengagement team culture.
• Oversee the development and productization of ML models addressing realworld document and biometric challenges at scale.
• Establish and evolve robust MLOps practices to ensure reproducibility reliability observability cost effectiveness and consistent highquality model delivery.
• Ensure the availability quality and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement.

People & Team Leadership

• Lead mentor and develop a team of senior machine learning engineers and technical leaders fostering a culture of trust accountability collaboration and continuous learning.
• Build highperforming teams that balance innovation with operational excellence.
• Set clear expectations provide regular feedback and support the professional growth and progression of team members.
• Builds trust through transparency technical credibility and consistent delivery.

CrossFunctional Collaboration

• Partner closely with Product Management to define AI/ML roadmaps prioritize initiatives and ensure timely and highimpact delivery.
• Collaborate effectively with Engineering Architecture Data Platform Security Legal and Compliance teams to ensure ML systems are scalable secure and compliant.
• Represent Documents & Biometrics in crosscompany forums related to AI strategy governance and innovation.

Governance Ethics & Compliance

• Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks regulatory requirements and ethical best practices.
• Contribute to companywide AI governance efforts including AI risk assessment documentation explainability and stakeholder readiness.
• Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies.

Operational Excellence

• Manage multiple complex initiatives simultaneously balancing innovation delivery commitments and operational stability.
• Ensure adherence to industry best practices architectural standards and engineering quality bars.
• Maintain high levels of team morale engagement and delivery velocity.

Skills were looking for

• PhD in AI Machine Learning Computer Science or a related field or equivalent depth of industry experience.
• Deep technical expertise in machine learning computer vision and deep learning applied to realworld production systems.
• 10 years of handson experience in machine learning and computer vision with a substantial portion in leadership roles.
• Significant experience leading and scaling machine learning teams in a productfocused environment.
• Proven track record of delivering ML solutions endtoend from concept through production and ongoing optimization.
• Strong experience building and operating MLOps pipelines data workflows and production ML systems.
• Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and nontechnical stakeholders.
• Experience operating in highly dynamic fastmoving environments with competing priorities.
• Experience with regulated environments AI governance frameworks or compliancedriven ML development would be beneficial
• Experience delivering ML solutions with measurable customer or business impact at scale

To find out more

As an equal opportunity employer we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.

To chat to the Talent Attraction team and find out more about our benefits and why were a great place to work drop an email toand well be in touch. You can also find out more about careers at GBG and check out our current opportunities at your potential and be part of our mission to power safe and rewarding digital lives.

Required Experience:

Director