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Machine Learning Architect in Chicago, IL at Solution Partners

Date Posted: 4/14/2018

Job Snapshot

Job Description

Machine Learning Architect

Rapidly growing Financial Services firm is advancing data science capabilities in machine learning and artificial intelligence. They are building AI and ML solutions utilizing both structured and unstructured data for supervised, unsupervised, and reinforced learning.

The firm is 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.

Skills:
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