Job Description
Are you passionate about Africa and using cutting edge technology to solve some of the grand challenges that the continent is facing? If so, and if you are driven, self-motivated and have outstanding problem solving, communication, leadership and inter-personal skills, then you could have a successful career as a research scientist with us. Advances in machine intelligence, digitisation and connectivity allow us to create digitally enhanced environments and to exploit connections between people, devices, built and natural environments, content and services, using adaptive data-driven intelligent systems to solve seemingly intractable problems. We are looking for research scientists to play a key role in developing and applying cutting edge artificial intelligence algorithms to solve real-life challenges across several domains and in so doing make a meaningful difference in the world around us.
Required Technical and Professional Expertise
At least a Master’s degree in Computer Science, Computer Engineering, Statistics or related fields
Excellent software development and coding ability in C++, Python, R, Java, JavaScript, MATLAB or related programming languages
A solid understanding of the principles of Machine Learning and Artificial Intelligence and the ability to apply them in various fields
Ability to perform scientific research based on the scientific method
Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization.
Preferred Tech and Prof Experience
Strong publication record in major international journals and conference proceedings
At least 2 years’programming experience with strong coding capability in Python and JavaScript
At least 2 years’experience with machine learning, deep learning, signal and image processing
Experience with cloud native application platforms, containers and container management
Experience with Unix-like environments, shell scripting, version control, and service oriented architectures
Experience with Big Data technology e.g. Hadoop, NoSQL, Spark, Storm, Cassandra etc.
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.
