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Position: Machine Learning Engineer
Institution: Alldus
Location: Utah, United States
Duties: As a Machine Learning Engineer, you will collaborate with cross-functional teams to comprehend business challenges and outline machine learning solutions; You will be responsible to design machine learning architectures that are scalable and efficient; Collect and preprocess extensive datasets for training and evaluation purposes; Implement data augmentation and cleaning techniques to ensure high-quality data; Develop and execute machine learning models utilizing cutting-edge algorithms; Optimize models to enhance performance, scalability and maintainability
Requirements: Master’s or Bachelor’s degree in Computer Science, Machine Learning or a related field; 5-8 years of experience in developing and deploying machine learning models in real-world applications; Proficiency in programming languages, including Javascript and Python, with experience in machine learning libraries such as TensorFlow and PyTorch; Solid comprehension of machine learning algorithms, data structures, and software design principles; Hands-on experience with cloud platforms (e.g., AWS or GPC) and distributed computing
   
Text: Machine Learning Engineer As a Machine Learning Engineer, you will collaborate with cross-functional teams to comprehend business challenges and outline machine learning solutions; You will be responsible to design machine learning architectures that are scalable and efficient; Collect and preprocess extensive datasets for training and evaluation purposes; Implement data augmentation and cleaning techniques to ensure high-quality data; Develop and execute machine learning models utilizing cutting-edge algorithms; Optimize models to enhance performance, scalability and maintainability Master’s or Bachelor’s degree in Computer Science, Machine Learning or a related field; 5-8 years of experience in developing and deploying machine learning models in real-world applications; Proficiency in programming languages, including Javascript and Python, with experience in machine learning libraries such as TensorFlow and PyTorch; Solid comprehension of machine learning algorithms, data structures, and software design principles; Hands-on experience with cloud platforms (e.g., AWS or GPC) and distributed computing
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