Required skills

• Fundamental understanding of mathematical techniques involved in ML and DL schemas
(Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
• Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention,
Convolution etc.) along with knack to imagine new schemas that work for the given data.
• NLP expertise, especially in Language modelling, at-least experience in using pre-trained
language models (Transformer /GPT /BERT)
• Great programming skills with expertise in Python development standards
• Fluency in Python package ecosystem especially ML/ DL packages like TensorFlow,
PyTorch etc.
• Functional expertise in DL modeling practices specific to data at hand (Size of model,
training procedures, hand-designed layers etc)
• Familiarity with code production standards and version control systems

Good to have skills

• Basic understanding of the cyber security domain.
• Vivid interest in data accumulation (Data hunter) and automated data gathering expertise.
• Basic hands-on experience in at least one database search engine and NoSQL document
storage (Elasticsearch, MongoDB etc)