CUBE are a global RegTech business defining andimplementing the gold standard of regulatory intelligence for thefinancial services industry. We deliver our services throughintuitive SaaS solutions, powered by AI, to simplify the complexand everchanging world of compliance for our clients. Why us? CUBEis a globally recognized brand at the forefront of RegulatoryTechnology. Our industry-leading SaaS solutions are trusted by theworld’s top financial institutions globally. In 2024, we achievedover 50% growth, both organically and through two strategicacquisitions. We’re a fast-paced, high-performing team that thriveson pushing boundaries—continuously evolving our products, services,and operations. At CUBE, we don’t just keep up we stay ahead. Webelieve our future is built by bold, ambitious individuals who aredriven to make a real difference. Our “make it happen” cultureempowers you to take ownership of your career and accelerate yourpersonal and professional development from day one. With over 700CUBERs across 19 countries spanning EMEA, the Americas, and APAC,we operate as one team with a shared mission to transformregulatory compliance. Diversity, collaboration, and purpose arethe heartbeat of our success. We were among the first to harnessthe power of AI in regulatory intelligence, and we continue to leadwith our cutting-edge technology. At CUBE, You will work alongsidesome of the brightest minds in AI research and engineering indeveloping impactful solutions that are reshaping the world ofregulatory compliance. Role Overview: As ML Engineer, RegBrain,your mission is to: - Participate in the continuous improvement ofRegBrain’s products. - Develop advanced NLP and AI-based productsthat will delight users. - Provide excellence in cloud-based MLengineering, with as much focus on Operations as Development. -Expand of the Team’s knowledge via demonstration and documentation.Key Responsibilities: As a machine learning engineer, your mainresponsibility is to conduct thedevelopment andproductionisationofML and NLP-based features for CUBE’s products - a SaaS Platform(RegPlatform) and an API (RegConnect). - Develop optimal ML &NLP solutions for RegBrain use cases, from baseline to SOTAapproaches, wherever appropriate. - Produce high quality, modularcode, and deploy following our established DevOps CI/CD and bestpractices. - Improve the efficiency, performance, and scalabilityof ML & NLP models (this includes data quality, ingestion,loading, cleaning, and processing). - Stay up-to-date with ML &NLP research, and experiment withnew models and techniques. -Perform code-reviews for your colleague’s code. Engage with them toraise standards of Software engineering. - Propose cloudarchitectures for ML-based products that need new infrastructure. -Participate in the monitoring and continuous improvement ofexisting ML systems. Core requirements: Experience matters. Butwhat is more important than raw number of years of experienceisdemonstrated proficiency(through GitHub profiles/onlineportfolios and the interview process itself). Bonus points forStack Overflow and Kaggle contributions! What we are looking for: -Experience analyzing large volumes of textual data (almost all ofour use cases will involve NLP). - Ability to write clear, robust,and testable code, especially in Python. - Familiarity with SQL andNoSQL/graph databases. - Extensive experience with ML &DLplatforms,frameworks, and libraries. - Extensive experience withend-to-endmodel design and deploymentwithin cloud environments. -Asystems thinking approach, with passion for MLOps best practises.- An engineer that can think in O(n) as much as plan theorchestration of their product. - Solid understanding of datastructures,data modelling, and software architecture, especiallycloud-based. - An engineer that can keep up with mathematically andstatistically-oriented colleagues. - A healthy sense of humour.Interested? If you are passionate about leveraging technology totransform regulatory compliance and meet the qualificationsoutlined above, we invite you to apply. Please submit your resumedetailing your relevant experience and interest in CUBE. CUBE is anequal opportunity employer. We celebrate diversity and arecommitted to creating an inclusive environment for all employees.#J-18808-Ljbffr
