Cisbox

Tóm tắt công việc

• Cisbox Ltd. is a rapidly expanding, dynamic company and we are looking for skilled, energetic and enthusiastic developers to contribute to our success. If you love coding and want to work with our like-skilled developers in Vietnam and Europe, then join our local developer team to get part in interesting and exciting new project from the beginning.
• By joining our team, you will get more than just a job. In addition to an attractive salary and benefits, you also will have opportunities to strengthen your skills, to cooperate within an international environment, and to flower out your creativity.
• At Cisbox Ltd., we are committed to maintaining a high level of satisfaction of our employees by trusting and empowering our employees, rewarding initiative and creativity and offering a working environment designed to boost your personal and professional growth.

• Time working: 09:00 AM - 06:00 PM from Monday to Friday.
• Social / Health / Unemployment insurance: Following the labour law.
• Public holiday and Annual leave are in accordance with the Vietnamese Labor Law
• Meal allowance
• Company Trip, Team building
• Christmas and year-end party
• To work with German team
• Interesting work on an exciting project
• Opportunity to grow into a senior role.
• Opportunity to learn and define your career path.
• We truly value your thoughts and opinions
• Work in a young, dynamic and motivated environment
• Very Competitive Salary.
• Extensive on job training, you will always have chance to work with new emerging

• At least 3+ years of experience leading AI/ML projects that were deployed in production
• Experience with the following areas: Python, TensorFlow, Keras, OpenCV, Scikit-Learn...
• Experience with implementing Machine Learning, Deep Learning, Classification
• In-depth knowledge of one or more deep learning areas such as computer vision or natural language processing (NLP)
• Proficient with a wide range of AI techniques such as, neural networks (including DNNs, RNNs, CNNs)
• Strong analytic skills related to working with structured and unstructured datasets