Machine Learning Engineer Intern
Learning opportunities:
– Participate in the development of data and analytic infrastructure for product development
– Drive continuous improvement in the efficiency and flexibility of the services
– Create efficient code that can be reused for other applications
– Code with the ability to scale with large dataset
Requirements:
– University student / fresh graduate in Computer Science, Engineering, or related other equivalent practical field with strong analytical skills
– Possess strong knowledge in Python and machine learning libraries
– Ability to communicate concisely and persuasively with engineers and business stakeholders
– Good knowledge of computer vision and deep learning architecture, such as CNN
– Good knowledge of geological data is a plus
Employment type: Paid internship
Send your CV/resume and portfolio to careers@sparveon.com with subject “Intern_MLEngineer_Name”
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