Director of Machine Learning (3966)

1 hour, 53 minutes ago
Full-time
Lead
Artificial Intelligence and Machine Learning
GBG

GBG

GBG is a global specialist in Identity Data Intelligence, offering solutions for identity verification, fraud detection, and customer onboarding to enable trusted online transactions.

Professional Services
1K-5K
Founded 1989
$117M raised

Description

  • Define and execute the long-term AI and machine learning strategy for the Documents & Biometrics domain.
  • Translate business and product strategy into ML roadmaps and impactful capabilities.
  • Identify ML opportunities to improve classification, extraction, fraud detection, image processing, and product performance.
  • Provide hands-on technical leadership across research, model design, experimentation, validation, deployment, and continuous improvement.
  • Oversee development and productization of ML models for document and biometric use cases at scale.
  • Establish and evolve MLOps practices for reproducibility, reliability, observability, cost effectiveness, and high-quality delivery.
  • Ensure the availability, quality, and scalability of labeled data pipelines to support model development and accuracy improvement.
  • Lead, mentor, and develop senior machine learning engineers and technical leaders.
  • Partner with Product Management, Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to deliver secure and compliant ML systems.
  • Represent the organization in cross-company forums related to AI strategy, governance, and innovation.
  • Ensure ML systems follow AI governance frameworks, regulatory requirements, and ethical best practices.
  • Manage multiple complex initiatives while maintaining delivery commitments and operational stability.

Requirements

  • PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience.
  • 10+ years of hands-on experience in machine learning and computer vision, with a substantial portion in leadership roles.
  • Deep technical expertise in machine learning, computer vision, and deep learning applied to production systems.
  • Significant experience leading and scaling machine learning teams in a product-focused environment.
  • Proven track record of delivering ML solutions end-to-end, 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 with technical and non-technical stakeholders.
  • Experience operating in highly dynamic, fast-moving environments with competing priorities.
  • Experience with regulated environments, AI governance frameworks, or compliance-driven ML development is beneficial.
  • Experience delivering ML solutions with measurable customer or business impact at scale is beneficial.

Interested in this position?

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