• Study and transform data science prototypes

• Design machine learning systems

• Research and implement appropriate ML/NLP 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 frameworks

• Keep abreast of developments in the field

Educational Qualification Experience

• The candidate should have a Bachelor s Degree

• 0-2 years of experience in ML/Data Science

• Proven experience as an ML/NLP or similar role

• Understanding of data structures, data modeling, and software
  architecture

• Deep knowledge of maths, probability, statistics, and algorithms

• Ability to write robust code in Python

• Familiarity with machine learning frameworks (like Keras or PyTorch or
  TensorFlow) and libraries

• Excellent communication skills

• Ability to work in a team

• Outstanding analytical and problem-solving skills