Responsibility

• • You will be working on new and challenging Engineering Problems to operationalize Data Science
  • Design and implement state-of-the-art Machine Learning approaches
  • Building core machine learning infrastructure, which includes distributed systems, abstractions, development tools, model hosting /serving/ inference pipelines
  • Building and Supporting Customer Data Science Projects on Aera
  • You will be working on all of these with senior members of the ML Engineering and Data Science teams.
  • You will receive appropriate training and guidance to do these tasks

Nice to have

• • Required:  Passionate about starting a career in Data Science
  • B.E./B.Tech in Computer Science/Computer Engineering or MCA/MCS (Pursuing or Completed).
  • Good knowledge of Data Structure and Algorithms and Object-Oriented Programming
  • Proficient in any one programming language (Python preferred)
  • Basic knowledge of SQL
  • Basic knowledge of Machine learning Libraries and frameworks (Tensorflow, Keras, etc).
  • Some experience in data analysis.
  • Basic knowledge on time series, data algorithms 
  • Basic knowledge of API development, Docker, and basic cloud knowledge.
  • At least one project as a showcase should be hosted on GIT Heroku or any cloud platform.
     

    Good to have:

  • • Good understanding of back-end concepts, and databases (SQL, Postgres, NoSQL, etc.)
    • Hands-on experience on AWS and other cloud platforms 
    • Courses or MOOC (Udacity, Coursera, fast.ai, etc) on Data Science/ML Engg/ML Ops