Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements; Works closely with data scientists and data engineers to develop machine learning algorithms; Understands and translates business and functional needs into machine learning problem statements; Translates machine learning algorithms into production-level code; Creates metrics to continuously evaluate the performance of machine learning solutions; Maintains and improves the performance of existing machine learning solutions; Ensures adherence to performance standards and compliance to data security requirements; Keeps abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization
Requirements:
Bachelor’s/master’s degree in computer science or a related field with 7+ years of proven experience in Machine learning and deep learning model development; Experienced Data Scientists with a thorough understanding of modern AI, especially Deep Learning for computer vision; Profound experience in training, refining, and deploying computer vision models for production environments; Mastery in Python and deep learning frameworks such as Pytorch and Keras-tensorflow; Solid Experience in developing and deploying enterprise-scale machine learning solutions; Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines would be plus
Text:
Lead ML Engineer (Deep Learning, Pytorch, tensorflow) Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements; Works closely with data scientists and data engineers to develop machine learning algorithms; Understands and translates business and functional needs into machine learning problem statements; Translates machine learning algorithms into production-level code; Creates metrics to continuously evaluate the performance of machine learning solutions; Maintains and improves the performance of existing machine learning solutions; Ensures adherence to performance standards and compliance to data security requirements; Keeps abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization Bachelor’s/master’s degree in computer science or a related field with 7+ years of proven experience in Machine learning and deep learning model development; Experienced Data Scientists with a thorough understanding of modern AI, especially Deep Learning for computer vision; Profound experience in training, refining, and deploying computer vision models for production environments; Mastery in Python and deep learning frameworks such as Pytorch and Keras-tensorflow; Solid Experience in developing and deploying enterprise-scale machine learning solutions; Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines would be plus
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