Machine Learning/Artificial Intelligence Scientist,
Bangalore, Karnataka, Indien
ABB (ABBN: SIX Swiss Ex) is a pioneering technology leader in electrification products, robotics and motion, industrial automation and power grids, serving customers in utilities, industry and transport & infrastructure globally. Continuing more than a 125-year history of innovation, ABB today is writing the future of industrial digitalization and driving the Energy and Fourth Industrial Revolutions. ABB operates in more than 100 countries with about 132,000 employees www.abb.com
You as a Scientist will be a part of ABB India Corporate Research Center (INCRC), co-located with ABB’s largest global software development and engineering units. INCRC performs research and develops technologies and concepts for ABB’s global divisions and business units. We collaborate with various ABB corporate research centers, premier academic institutes in India and abroad. You will work in dynamic and creative teams with a wide range of experience and expertise. Your opportunities for career growth will be excellent, both nationally and internationally.
As a Scientist, you will be responsible for the following activities:
Evaluate and develop mathematical algorithms (including open source data analysis/ machine learning libraries) for Utilities, Industry, Transport and Infrastructure Analytics.
Use and model dynamic simulations.
Participate in and drive applied research and technology transfer projects resulting in concepts, prototypes, patents, and academic publications.
Support ABB business units through consulting engagements.
International travel on need basis.
Ph. D./ Masters in Computer Science/ Chemical/ Electrical/ Electronics/ Mechatronics/ Controls/ Industrial Engineering with a strong publication record.
Industrial research/post-doctoral experience is preferred.
Experience with open source Machine Learning and AI libraries (including Deep Learning, NLP)
Hands-on experience with programming languages/ tools e.g., Python, R, Matlab, Lua etc. preferably interacting with industrial data
Experience with developing solutions for execution on Hadoop, GPUs/CPU Clusters, FPGA is a plus.
Broad IT/SW background and willingness to quickly acquire in-depth knowledge of new technologies and application domains.
Ability to communicate effectively in English with internal and external partners including academic community.
More about us
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