Data Science/Data Engg

Responsibilities

1.    Study and transform data science prototypes based on business problem
2.    Design machine learning systems
3.    Research and implement appropriate ML algorithms and tools
4.    Develop machine learning applications according to requirements
5.    Create appropriate datasets and data representation methods
6.    Run machine learning tests and experiments
7.    Perform statistical analysis and fine-tuning using test results
8.    Train and retrain models/system when necessary
9.    Extend existing ML libraries and frameworks as a part of the research work
10.    Keep abreast of developments in the field and implement them wherever possible

Requirements 

1.    Proven experience as a Machine Learning Expert or similar role
2.    Understanding of data structures, data modelling and software architecture
3.    Deep knowledge of math, probability, statistics and algorithms
4.    Ability to write robust code in Python, SQL and R. Good to have knowledge on Big Query and Pyspark
5.    Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).

Skill Set: Python, SQL, R, ML, PySpark, Pytorch, Keras & libraries (like scikit-learn)