Jr MLE

**Responsibilities**

• Scope out the business requirements by performing necessary data driven statistical analysis.
• Conduct exploratory analysis(EDA) on large volumes of data, understand the statistical shape and use the right visuals to drive & present the analysis.
• Analyze and extract relevant information from large amounts of data and derive useful insights at big data scale.
• Work with labellers to manage ground truth data and perform feature engineering as needed.Train, validate, test, optimise neural net models and keep improving our image and text processing models.
• Create a scalable, reliable, performant deployment of ML systems in production and support it.
  
  
  

**Skills required:**

• B.Tech/MS from reputed institution with a delivery focus.Hands-on in ML Frameworks - Pytorch or Tensorflow in College projects, Internships or preferably Kaggle competitions.
• Exhibit high coding standards and create production-quality code with maximum efficiency.
• Hands-on in Data Analysis & Data engineering skills involving Sqls, PySpark etc.
• Exposure to ML & Data services on the cloud – AWS, Azure, GCP Understands Computer architecture, Operating systems, and Algorithms.
• Understanding Transformer models and its related math & internals is a big plus.