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Data Scientist(图像视频识别)
26000-35000元 应届毕业生 本科
  • 全勤奖
  • 节日福利
  • 不加班
  • 周末双休
国际商业机器全球服务(大连)有限公司 2025-04-29 10:51:18 955人关注
职位描述
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Job Description 1. The candidate will work for enterprise customers on AI domains in traditional data analytics, deep learning, or edge LLM/GenAI domains. 2. The candidate could work independently to perform Natural Language Processing or Computer Vision related domains, to resolve customer’s problems in quality inspection, security, data analytics / optimization, customer profiling, recommendation, or other topics in various industries. 3. The candidate should be skillful at business requirement grooming and analyzing. Be good at business communication, business scenarios design, business problems transformation, application delivery, and so on. 4. The candidate should have fundamental project management experience, could lead a small team up to 3-5 team members. 5. Good communication skills and team worker. 6. Has 3 years working experience in AI domain. Required Skills 1. Deep dive in data science and algorithm engineering. Be able to complete business data understanding and insight, data preprocess, feature engineering, algorithm design and implementation, model evaluation and optimization, model serving and so on. 2. Master popular machine learning algorithms and objective optimization algorithms and experienced in applying them to resolve various industrial problems. 3. Be proficient and has practical experience in natural language processing or computer vision, ever successfully delivered 2-5 customer projects. 4. Has deep understanding of machine learning and deep learning concepts, algorithms, frameworks, and models (e.g., TensorFlow, PyTorch, recurrent neural networks, transformers, BERT, GPT, or others.). 5. Or has solid experience in computer vision algorithm, framework, tools or pre-trained models like image classification, object detection, and image segmentation, OpenCV, CNN, ResNet, MobileNet. Have basic knowledge in data augmentation.
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工作地点
地址:北京海淀区北京-海淀区IBM中国客户中心(环宇大厦分部)
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