Requirements ·
Experience in developing Operations Research/ Mathematical optimization based models e.g Advanced math and statistics knowledge, particularly in the areas of calculus, linear algebra, and Bayesian statistics
Understanding of data structures, data modelling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn
Study and transform data science prototypes
Design machine learning systems
Research and implement appropriate ML algorithms and tools
Develop machine-learning applications according to requirements
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and framework
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