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About the role
AIML Engineer - Must have experience with Machine Learning Model Development - Expert Level Proficiency in Data Handling (SQL) - Hands-on with Model Engineering and Improvement - Strong experience in Model Deployment and Productionlization - 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across various domains. - Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. - Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. - Robust expertise in deploying machine learning models to production systems. AIML Engineer - Must have experience with Machine Learning Model Development - Expert Level Proficiency in Data Handling (SQL) - Hands-on with Model Engineering and Improvement - Strong experience in Model Deployment and Productionlization - 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across various domains. - Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. - Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. - Robust expertise in deploying machine learning models to production systems.
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