Should have experience of Time Series Analysis and NLP

Should be familiar with state of the art machine learning models

Should have clear understanding of data structures, data modeling and model evaluation

Should have strong understanding of ML algorithms mathematics and its working

Should have ability to extend existing ML libraries and frameworks

Should be good in probability and applying statistical analysis

Should be proficient in applying hyper parameter tuning of models

Should be able to interpret models and its working

Should be proficient in data cleaning, its transformations and feature engineering

Should be proficient in Python and/or R

Should have academic background of BSCS or similar area

 Responsibilities:

Research and implement appropriate ML algorithms

Research and select ML libraries for given tasks

Select appropriate datasets and data representation methods

Collaborate with data engineers to build data and model pipelines

Clean, manipulate and transform the required data

Analyze and check the suitability of an algorithm if it caters the needs of the current task

Train and retrain systems by applying hyper parameter tuning techniques when necessary