Associate ML Engineer- GET

Key Responsibilities - 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 relevant datasets and data representation methods Run machine learning tests and experiments Technical Requirements - Knowledge in Machine Learning Engineer or similar role Knowledge of AWS or Azure Understanding of data structures, data modeling, and software architecture Deep knowledge of maths, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Professional Attributes - Excellent communication skills Attention to detail Analytical mind and Problem Solving Aptitude Strong Organizational skills Visual Thinking