Cummins Inc. Machine Learning Intern 机器学习实习生 in Beijing, China
Machine Learning Intern 机器学习实习生
Transfer engineering/business logic and algorithm into programming language (Python, R or Matlab). Design and develop innovative machine learning strategies for challenging problems. Design pipeline for big data preparation from Azure/AWS cloud or Data Lake.
Validate logic and algorithm with big data through modeling delivery and analytics reports.
Undergraduate or Master in Statistics, Computer Science, Data Science, Mathematics or Auto Engineering or closely related STEM fields.
Use deep learning and machine learning algorithms, and advanced mathematical models to deliver insight, recommendations and solutions.
Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs observed outputs and Key Performance Indicators (KPIs).
Present compelling, validated stories to team members and stakeholders throughout and at the completion of the internship.
Demonstrated proficiency in deep learning and machine learning algorithms and concepts- Familiarity with Python CV/ML tools; OpenCV, Sklearn, Numpy, and at least one deep learning package (Tensorflow/PyTorch/Keras).
Experience in developing, training and evaluating deep learning and machine learning models, have some practical experience in implementing deep learning architectures for image classification, object detection and object segmentation.
Good self-learning, analytical, writing and communication capability.
Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline.
Assess needs and recommends experiments, data, and projects, suggests new algorithmic development, drive tactical decisions about approaches and needed data.
Job SYSTEMS/INFORMATION TECHNOLOGY
Primary Location China-Beijing-Beijing-China, Beijing, CUMMINS HQ
Job Type Internship
Recruitment Job Type Student - Internship
Job Posting Dec 23, 2021, 11:15:38 PM
Unposting Date Ongoing
Req ID: 210008JM