Machine Learning Engineer
เกี่ยวกับตำแหน่งนี้
A Machine Learning Engineer trains, validates and evaluates machine learning and deep learning models which perform predictive tasks in various domains such as computer vision, natural language understanding and time-series analysis.
หน้าที่รับผิดชอบ
• Translate and refine business goals into appropriate machine learning objectives.
• Design and implement ML/DL solutions and integrate them with various Big Data platforms and architectures.
• Create and maintain ML pipelines that are scalable, robust, and ready for production.
• Collaborate with domain experts, software developers, and data scientists.
• Troubleshoot ML/DL model issues, including recommendations for retrain, re-validate, and improvements/optimization.
คุณสมบัติ
• Hands-on experience in building ML models deployed into real-world business applications or research.
• Working knowledge of ML/DL algorithms (classification, regression, clustering, hyperparameter tuning, etc).
• Proficiency with Python and libraries for machine learning such as scikit-learn and pandas.
• Good understanding of Deep learning frameworks such as Tensorflow, Keras, PyTorch, MXNet, etc.
• Experience in using computer vision libraries such as OpenCV, PIL.