Are you passionate about delivering mission-critical, high quality machine learning models, using cutting-edge technology, in a dynamic environment? We are Compliance Engineering, a global team of more than 300 engineers and scientists who work on the most complex, mission-critical problems. We build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm. have access to the latest technology and to massive amounts of structured and unstructured data. leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications. Within Compliance engineering, we are hiring for a Machine Learning Engineering role within Models Engineering. The firm is making a significant investment improve the precision/ recall of the Compliance models portfolio in 2024. To achieve that we are hiring experienced MLEs who have experience of developing and deploying ML models for big data in a distributed architecture.

Work with large scale structure and unstructured data.

Drive end to end Machine Learning projects that have a high degree of scale and complexity

Build infra for machine learning which involves feature engineering and scaling models to work at scale

Develop, productionize, and maintain ml models

Run ML experiments by constantly tuning the features and the modeling approaches, documenting findings and results

Collaborate closely with ML researchers, to accelerate the usage of cutting edge models

Perform code reviews and ensure code quality