Compliance-New York-Associate-Machine Learning Engineering

at  Goldman Sachs

New York, NY 10282, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate31 Jan, 2025USD 180000 Annual01 Nov, 20242 year(s) or aboveScikit Learn,Python,Code,Machine Learning,Distributed Systems,Data Structures,Computer Science,Scala,Software DesignNoNo
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Description:

QUALIFICATIONS

A successful candidate will possess the following attributes:

  • A Bachelor’s or Master’s degree in Computer Science, or a similar field of study.
  • 2+ 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)

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Experience in some of the 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.

Responsibilities:

Please refer the Job description for details

REQUIREMENT SUMMARY

Min:2.0Max:7.0 year(s)

Information Technology/IT

IT Software - System Programming

Software Engineering

Graduate

Computer Science

Proficient

1

New York, NY 10282, USA