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AI Engineer - Transform Regulatory Intelligence at CUBE

CUBELondon
On-site Full-time

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Experience Level

Experience

Qualifications

Candidates should possess a strong background in machine learning, AI development, and cloud-based engineering, with proficiency in programming languages such as Python and experience in deploying scalable ML models. Familiarity with NLP and LLM technologies is highly desirable.

About the job

Join CUBE, a pioneering global RegTech firm, as we redefine regulatory intelligence for the financial services sector. Our innovative SaaS solutions, empowered by artificial intelligence, simplify the intricate landscape of compliance for our clients.

Why Choose CUBE?

CUBE stands as a globally recognized leader in Regulatory Technology, with our industry-defining SaaS products trusted by top financial institutions worldwide.

In 2024, we celebrated over 50% growth through both organic expansion and strategic acquisitions. Our dynamic, high-performing team thrives on innovation, continuously advancing our products and services. At CUBE, we don’t just adapt; we lead the way.

We believe our future is crafted by ambitious individuals eager to make a significant impact. Our culture promotes a "make it happen" ethos, empowering you to take charge of your career from day one.

With a diverse team of over 700 CUBERs across 19 countries in EMEA, the Americas, and APAC, we operate as a unified force, dedicated to transforming regulatory compliance. Diversity and collaboration are the heart of our success.

As one of the pioneers in leveraging AI for regulatory intelligence, CUBE continues to lead with groundbreaking technology. You’ll collaborate with some of the brightest minds in AI research and engineering to create solutions that are reshaping regulatory compliance.

Role Overview

In the role of AI Engineer, you will spearhead the development and enhancement of our AI/ML-driven products, including recommender systems, NLP solutions, and LLM-based features. Your objective is to deliver sophisticated, production-ready ML solutions that provide exceptional user experiences while excelling in cloud-based ML engineering.

Key Responsibilities

  • Design, refine, and deploy AI/ML and LLM-based features for our internal and external platforms to tackle challenges such as:

    • High cardinality hierarchical classifications

    • Personalized content filtering of legal documents

    • Utilizing ML/LLMs for large-scale integration of heterogeneous text data

About CUBE

CUBE is at the cutting edge of RegTech, providing innovative solutions to meet the evolving challenges of regulatory compliance in the financial sector. Our commitment to excellence and continuous growth makes us a leader in the field.

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