... training and analysis of deep learning models; 11) tuning existing machine learning and deep learning models when needed; 12) timely ... : - knowledge of the development of machine learning and deep learning models; - knowledge of Linux operating ...
... training and analysis of deep learning models; 11) tuning existing machine learning and deep learning models when needed; 12) timely ... : - knowledge of the development of machine learning and deep learning models; - knowledge of Linux operating ...
... image processing, computer vision, and machine learning Expertise with traditional CV approaches ( ... the field of Computer Vision, Machine Learning, Computer Graphics or similar Understanding ...
... learners. Support students’ access to learning through the effective use of ... relating to the development and learning of pupils as requested. Build ... communicate with them on pupils’ learning and progress. Write detailed and ...
... Vision), Time Series, MLE MLOps (Machine Learning Engineering Operationalization) and Recommendation Systems. ... production experience in Data Science Machine Learning Expertise in Deep Learning (PyTorch or TensorFlow) Proficiency in ...
... Vision), Time Series, MLE MLOps (Machine Learning Engineering Operationalization) and Recommendation Systems. ... production experience in Data Science Machine Learning Expertise in Deep Learning (PyTorch or TensorFlow) Proficiency in ...
... for developing and implementing machine learning algorithms and models that drive ... in developing and implementing machine learning algorithms and models. Strong programming ... languages. Experience with machine learning frameworks such as TensorFlow, Keras, ...
... и Аргентине. Ищем Data Scientist Machine Learning Engineer’а на крупный проект для ...
... optimization using MLflow and Azure Machine Learning Expertise in developing scalable microservices ... in Python, with experience in machine learning frameworks Experience with CI CD pipelines for machine learning workflows Knowledge of model performance ...
... and gathering datasets for machine learning models, data entry and validation. ... and annotate data for machine learning datasets, ensuring data accuracy, classification, ... quality of data used for machine learning model preparation Tagging and Content ...