VP of AI Engineering

2 weeks ago


Dubai, Dubai, United Arab Emirates Austin Werner Full time

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Helping to build world class teams for Management Consulting, Web3 and Digital Asset Start-ups/Scale-ups.

VP of AI Engineering - Fintech / Financial Services - Data Analytics, Python, ML Frameworks

**please note: we are recruiting for a brand new team of 3 squads consisting of 16 people

Austin Werner, a reputable Crypto and Fintech recruitment business with a footprint in the UK and UAE, is pleased to present an exclusive opportunity for a forward-thinking leader and hands-on VP of AI Engineering for an extremely fast-growing, super high net worth-backed crypto and payments/fintech on a mission to disrupt the financial ecosystem by launching a cutting-edge Ecosystem.

As an organization committed to fostering excellence and driving innovation, we are seeking a hands-on technical leader to create and ensure delivery of high-quality AI solutions, in-house code whilst designing and implementing AI Architectures.

This is an outstanding opportunity to be part of a brand new team (currently recruiting) consisting of 3 squads across:

  • Marketing & Customer Services
  • Fraud, Transaction and KYC

Responsibilities of the VP of AI Engineering will be:

  • Design and implement AI architectures and solutions.
  • Lead the strategy, development and deployment of AI models.
  • Provide technical guidance and mentorship to the development team.
  • Ensure code quality and adherence to best practices and internal group policies.
  • Evaluate and select appropriate AI tools and technologies, under the oversight of the group's technical leadership.
  • Troubleshoot and resolve technical issues, as well as ensure cost-effective use of AI infrastructure.

Qualifications required for the VP of AI Engineering role:

  • Master's or PhD in Computer Science, AI, or a related field.
  • Extensive experience in AI development and deployment.
  • Expertise in using at least one AI/Data Analytics platform, such as Databricks.
  • Strong programming skills in Python, Java and other relevant languages used in AI.
  • Experience with AI platforms such as Databricks on private and on-premise infrastructure.
  • Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, and Keras.
  • Experience in implementation of software through DevOps pipelines, such as Azure DevOps, Jenkins and other systems.
  • Track record of using collaboration platforms like Jira and Confluence is a must.
  • Deep understanding of machine learning algorithms and techniques, especially where applied to financial and customer services applications.

If you are a visionary and hands-on technical leader in the AI space with Financial Services applications experience then please send your latest CV to be considered for the VP of AI Engineering role.

Seniority level
  • Director
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
  • Industries
  • Financial Services and IT System Data Services
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