Key Responsibilities

• 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