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Thanks for your interest in the ML Engineer position. Unfortunately this position has been closed but you can search our 985 open jobs by clicking here.

Neiman Marcus Group has an immediate opening for an ML Engineer.

 

ML Data engineer will have the unique combination of business acumen needed to interface directly with key stakeholders to understand the problem along with the skills and vision to translate the need into a world-class technical solution using the latest technologies. This person will be a hands-on role who is responsible for building ML engineering solutions for NMG Enterprise using cloud-based data platform.


Job Duties

  • Study and transform data science prototypes
  • Research and implement appropriate ML algorithms and tools
  • Experience with both machine learning and building scalable production services
  • Understand, analyze data from multiple data sources
  • Expertise in one or more object-oriented languages, including Python, Go, Java, or C++, and an eagerness to learn more
  • Experience using machine learning libraries or platforms, including TensorFlow, Caffe, Theanos, Scikit-Learn, or ML Lib for production
  • Ability to solve complex business problems and apply machine learning to optimize critical business metrics
  • Strong adherence to metrics-driven development, with a disciplined and analytical approach to product development.
  • Create robust and automated pipelines to ingest and process structured and unstructured data from source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset
  • Work activity includes processing complex data sets, leveraging technologies used to process these disparate data sets and understanding the correlations as well as patterns that exist between these different data sets
  • Participate in educating and cross-training other team members
  • Provide regular updates to all relevant stakeholders
  • Participate in daily scrum calls and provide clear visibility to work products
  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling, and software architecture
  • Deep knowledge of math, probability, statistics, and algorithms
  • Ability to write robust code in Python, Java, and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
  • Experience developing and implementing enterprise-level data solutions utilizing Python (Scikit-lean, Scipy, Pandas, Numpy, Tensorflow) , Java, Spark, and Scala, Airflow, Hive
  • Experience working on Big Data Processing Frameworks and Tools – Map Reduce, YARN, Hive, Pig, Oozie, Sqoop, and good knowledge of common big data file formats (e.g., Parquet, ORC, etc.)

Job Requirements

  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling, and software architecture
  • Deep knowledge of math, probability, statistics, and algorithms
  • Ability to write robust code in Python, Java, and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
  • Experience developing and implementing enterprise-level data solutions utilizing Python (Scikit-lean, Scipy, Pandas, Numpy, Tensorflow) , Java, Spark, and Scala, Airflow, Hive
  • Experience working on Big Data Processing Frameworks and Tools – Map Reduce, YARN, Hive, Pig, Oozie, Sqoop, and good knowledge of common big data file formats (e.g., Parquet, ORC, etc.)

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Los Angeles and San Francisco Applicants: Neiman Marcus will consider for employment qualified applicants with criminal history as required by applicable law.
We are committed to providing reasonable accommodations during our Talent Acquisition process. If you have a disability and need assistance or an accommodation, please reach out to us at ApplicantSupport@NeimanMarcus.com.
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