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Machine Learning Engineer


Posted: 07/15/2019 Job Number: 9398

The goal is to lead the processes from infrastructure config to data collection, cleaning, analysis, and report automation to training models and subject matter ownership.


  • Understanding business objectives and developing models along with metrics to track their progress
  • Managing available resources such as hardware, data, and personnel so that deadlines are met
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Finding available datasets online that could be used for training
  • Defining the preprocessing or feature engineering to be done on a given dataset
  • Defining data augmentation pipelines
  • Deploying models to production


  • Proficiency with a deep learning framework
  • Proficiency with Python, R, SQL and basic libraries
  • Expertise in visualizing and manipulating big datasets

Additional qualifications/experience preferred:
- Cloud migration experience with AWS, Azure, or Google

Education background

Graduate degree in Math, Applied Statistics, Computational Mathematics, Computer Science or similar


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