Artificial Intelligence Software Engineer

Job Description
IBM GBS Asset Acceleration team focus on the end-end solution/asset development across various industries based on cutting edge technologies with adoption of IBM Design Thinking methodology. This position will participate in artificial intelligence product development and project implementation.

* Qualification
1. Bachelor degree or above of machine learning, deep learning, mathematics or other computer related majors.
2. Solid programming skills, familiar with Python programming language
3. Have good understanding on deep learning theory, master at least one open source deep learning framework, such as caffe/tensorflow/keras/torch
4. Solid technical knowledge on machine learning, mathematical statistics, and Linux. Relevant research or engineering experience is preferred.
5. Experience with data modelling is preferred
6. Experience with image processing and computer vision projects, engineering experience in target recognition, target detection, machine learning, or prioritization of academic papers.
7. Strong mathematical skills, familiar with computer vision algorithms, such as target detection, target recognition and classification.
8. Experience with deep learning for natural language processing (NLP). Knowlege on intelligent Q&A/knowledge mapping and other research areas is preferred.
9. Fluent English reading, writing and speaking
10.Quick learner, good teamwork and communication skills

Join us and you will have the opportunity to learn:
1. How to conduct development in international company
2. How to work with international teams
3. How to innovate based on real market requirement
4. How to convert research results into solutions or products to generate business value

Required Technical and Professional Expertise

1. Bachelor degree or above of machine learning, deep learning, mathematics or other computer related majors.
2. Solid programming skills, familiar with Python programming language
3. Have good understanding on deep learning theory, master at least one open source deep learning framework, such as caffe/tensorflow/keras/torch
4. Solid technical knowledge on machine learning, mathematical statistics, and Linux. Relevant research or engineering experience is preferred.
5. Experience with image processing and computer vision projects, engineering experience in target recognition, target detection, machine learning, or prioritization of academic papers.
6. Strong mathematical skills, familiar with computer vision algorithms, such as target detection, target recognition and classification.
7. Fluent English reading, writing and speaking
8.Quick learner, good teamwork and communication skills

Preferred Tech and Prof Experience

1. Experience with data modelling
2. Experience with deep learning for natural language processing (NLP). Knowlege on intelligent Q&A/knowledge mapping and other research areas

EO Statement
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


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