Goldman Sachs

Compliance, Machine Learning Engineer, New York, Vice President

Goldman Sachs

New York•On-site•10-13 Yrs•Jun 24

Are you passionate about delivering mission-critical, high quality machine learning models, using cutting-edge technology, in a dynamic environment?

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

A Bachelor's or Master's degree in Computer Science, or a similar field of study.
10+ years of hands-on experience with building scalable machine learning systems
Solid coding skills and strong Computer Science fundamentals (algorithms, data structures, software design)
Expertise in Python & PySpark
Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit-Learn, HuggingFace)
Prior experience with LLMs and Prompt Engineering
Prior experience in architecting/ deploying ML applications on AWS/ GCP
Prior experience in code reviews/ architecture design for distributed systems.

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