Compliance-Dallas-Vice President-Software Engineering
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Job Location:
Dallas, IA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Are you passionate about delivering mission-critical high quality machine learning models using cutting-edge technologyin a dynamic environment
OUR IMPACT
We are Compliance Engineeringa global team of more than 300engineers and scientists whowork 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 andto 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 firmis making a significant investment improve the precision/ recall of the Compliance models portfolioin 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.
HOW YOU WILL FULFILL YOUR POTENTIAL
As a member of our team you will:
- 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
QUALIFICATIONS
A successful candidate will possess the followingattributes:
- A Bachelors or Masters degreein Computer Science or a similar field of study.
- 6 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
- Experience in working with distributed technologies like Scala Pyspark Iceberg HDFS file formats (avro parquet) AWS/ GCP big data feature engineering.
- Experience in system design and evaluating the pros and cons of database choices schema definition for data storage.
- Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow PyTorch Scikit-Learn HuggingFace)
Experience in some ofthe following is desired and can set you apart from other candidates:
- 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.
Required Experience:
Exec
Key Skills
About Company
The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.
