Machine Learning Architect

Chicago, IL 60601

Post Date: 01/25/2018 Job ID: 9953 Category: Opportunistic, Quant

We are advancing  data  science capabilities in machine learning and artificial intelligence. We are building AI and ML solutions utilizing both structured and unstructured  data  for supervised, unsupervised, and reinforced learning. 

We are actively looking for a candidate to lead our  data  science efforts in this space. This candidate will work with our functional teams to understand the problem, and work with our  data  engineering teams to build the solutions through ML pipelines and algorithms.

  • Have experience in NLP of unstructured text documents to automatically tag via machine learning.
  • Unstructured feature extraction using Machine Learning (deep learning, multi-layer neural networks) 
  • Building statistical models using python (NumPy, SciPy, etc.) 
  • Data  manipulation with Pandas
  • Have used Jupyter Notebook for consuming/sharing ML code
  • Deep learning workflows with Tensorflow, Pytorch, or other similar products
  • Natural Language Processing with Python Natural Language Toolkit (NLTK or SpaCy

Machine Learning, Finance, NLP, Neural Networks, etc.

Jordan Zmick

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