About this role
An AI Engineer at CUBE drives the development and enhancement of AI/ML-powered products, focusing on recommender systems, NLP solutions, and LLM-driven features to address complex regulatory compliance challenges. This role involves deploying scalable, interpretable machine learning solutions on cloud architecture (primarily Azure) and collaborating with subject matter experts to apply cutting-edge research to real-world problems. With a solid foundation in statistical methods, coding in Python, and experience with SQL and NoSQL databases, the AI Engineer plays a pivotal role in advancing CUBE's innovative regulatory technology solutions.
Required Skills
- Machine Learning
- LLM Development
- NLP Solutions
- Cloud Architecture
- Azure
- Statistical Techniques
- Python
- SQL
- NoSQL
- Data Structures
+8 more
About CUBE Global
www.cube.globalCUBE is a leading provider of automated regulatory intelligence solutions, aimed at enhancing compliance within the financial services sector. The company's innovative platforms leverage AI technology to track and report on global regulations, management of obligations, and risk assessment, helping enterprises navigate the complexities of regulatory change. With a robust global presence and a growing client base, CUBE offers tailored solutions that empower organizations to transform compliance from a reactive necessity into a strategic advantage.
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