AI Engineering Director

hace 16 horas


Madrid, Madrid, España Cube A tiempo completo

Job Title: AI Engineering Director

About Us:

Cube is a global RegTech business, pioneering the development of machine automated compliance. We define and implement the gold standard of regulatory intelligence and change for the financial services industry.

We deliver our services through a SaaS platform, powered by an innovative combination of AI and proprietary data ontology, to simplify the complex and ever-changing world of compliance for our clients. As a company rooted in strong values, team spirit, and commitment to our customers and wider communities, we serve some of the largest financial institutions globally and are expanding our footprint rapidly.

About the Role:

The ideal candidate will have a strong background in AI and ML techniques, data engineering, software development, team leadership, and project management, as well as direct experience in managing complex data pipelines, leveraging AI solutions, and converting unstructured real-world information and documents into high-quality actionable data for demanding customers.

Key Responsibilities:

  • Work with product and customer teams to define and deliver AI-enabled features across the stack.
  • A combination of natural language processing and computer vision techniques are used, and we are looking to include graph machine learning as well.
  • Take responsibility as engineering owner for all AI projects and capabilities, from ideation through to delivery of robust and reliable production systems.
  • Manage the AI/ML teams clearly trading off execution and delivery vs. research and exploration.
  • Develop and implement a data strategy for AI teams that integrates diverse data sources, ensuring efficient data collection, storage, and processing, supporting key use cases such as annotation, model training, and real-time data access with a strong emphasis on data quality.
  • Ensure that the company drives value and time to market by balancing the use of external capabilities and internally tuned models, constantly looking to leverage industry trends to improve performance.
  • Lead teams across Australia, India, Sri Lanka, and the UK.
  • Work closely with the CTO, Engineering, and wider leadership to define and execute wider engineering and technology strategies, aligned with the company's goals.
  • Ensure timely delivery of high-quality work by the team, while maintaining a positive work culture.
  • Mentor and coach team members, encouraging their professional growth and supporting them in reaching their full potential.
  • Support the overall company brand by speaking at meet-ups and conferences.

What We're Looking For:

Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or a highly related field.

Proven experience as an AI Engineering Leader, including management of multiple squads and management of complex engineering delivery projects (span multiple systems and disciplines, coordinating product owners, business analysts, infrastructure, etc.).

Proven experience in designing and deploying machine learning-driven solutions.

Solid mathematical foundation in deep learning techniques, LLM, and NLP, with a strong preference for experience in working with unstructured data.

Python and relevant libraries (PyTorch, NumPy, etc.), strong background in general software development, beyond AI/ML.

Strong experience with cloud environments – Azure and GCP preferable, others desirable.

Excellent project management skills and experience with Agile methodologies.

Ability to work on multiple projects in parallel, using project management and other resources effectively.

Excellent communication and interpersonal skills.

Experience running teams across multiple time zones.

Strong problem-solving abilities and analytical skills.

A track record of speaking at meet-ups and conferences.

Our Products:

RegPlatform is a technology platform that streamlines regulatory change management. It provides firms with a one-stop, continuously maintained inventory of global regulations, with effortless horizon scanning, integration capabilities, and workflow management.

RegBrain allows customers to apply CUBE's AI models directly to their own content, enabling faster release and feedback cycles.

Our flagship AI services will be included, spanning structural detection, classification, entity extraction, summarization, and recommendations. Available to customers and partners as APIs and via a UI.

Why Choose Us?

Globally, we are one of a kind. Cube is a well-established market leader within Regtech, and our category-defining product is used by leading financial institutions around the world.

Growth & Progression:

Last year we grew by more than 50%, and our growth journey is just getting started. We are a dynamic, fast-paced workforce that is always seeking ways to accelerate our people, processes, services, and products.

We hire ambitious people who want to make a difference, share their ideas,



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