Position: Senior Computer Vision Data Scientist
Company: Occur
Experience required: 5y
English level: fluent

This professional will be given access to our private, high-quality custom datasets not available in the public domain and the tools he/she helps develop will be put into use immediately on the biggest movies and TV shows today.
Our ideal candidate has a minimum of 3 years of experience and a masters in this domain and will be expected to do novel research in computer vision.

Responsibilities

​Develop new algorithms to improve accuracy and performance of the model.
Exploring and visualizing data to gain an understanding of 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 pre-processing 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
Deploying models to production

Requirements

Experience with a deep learning framework such as TensorFlow or Keras
Expertise in Python and basic libraries for machine learning such as scikit-learn and pandas
Expertise in visualizing and manipulating big datasets
Experience with OpenCV
Familiarity with Linux
Ability to select hardware to run an ML model with the required latency