Salary : As Per Industry Standards.
Job Views: 2452
Recruiter: Disha Chauhan - +91 70697 10005
Created Date: 01-10-2019
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
● 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
Experience Requirements: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 deadlinesare met● Analyzing the ML algorithms that could be used to solve a given problem and rankingthem by their success probability● Exploring and visualizing data to gain an understanding of it, then identifying differencesin data distribution that could affect performance when deploying the model in the realworld● 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 validation strategies● Defining the preprocessing or feature engineering to be done on a given dataset● Defining data augmentation pipelines● Training models and tuning their hyperparameters● Analyzing the errors of the model and designing strategies to overcome them● Deploying models to production
Salary Range: As Per Industry Standards.