Machine Learning Engineer Job in Zazz

• Understanding business objectives and developing models that help to achieve them, 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 understand it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  
• Verifying data quality, and/or ensuring it via data cleaning
  
• Supervising the data acquisition process if more data is needed
  
• Defining validation strategies
  
• Defining the preprocessing or feature engineering to be done on a given dataset
  
• Defining data augmentation pipelines
  
• Training models and tuning their hyper-parameters
  
• Analyzing the errors of the model and designing strategies to overcome them
  
  

Requirements

• Proficiency with a deep learning framework such as TensorFlow or Keras
  
• Proficiency with Python and basic libraries for machine learning such as sci-kit-learn and pandas
  
• Expertise in visualizing and manipulating big datasets
  
• Proficiency with OpenCV
  
• Familiarity with Linux
  
• Ability to select hardware to run an ML model with the required latency