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
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