Responsibilities Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Skills Experience working on Cloud platforms preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks like Keras or PyTorch and libraries like scikit-learn Excellent communication skills