Hitachi, Ltd. is a Japanese multinational conglomerate corporation headquartered in Chiyoda, Tokyo, Japan. It is the parent company of the Hitachi Group and had formed part of the Nissan zaibatsu and later DKB Group and Fuyo Group of companies before DKB and Fuji Bank merged into the Mizuho Financial Group. – WIKI
Hitachi Recruitment:
Company name: Hitachi
Website: hitachi.com
Job Position: Data Scientist / AI-ML Engineer
Location: Bengaluru
Job Type: Full time
Experience: Freshers
Qualification: B.E/ B.Tech
Batch: 2020/ 2021/ 2022/ 2023
Salary: Up to 6 LPA (Expected)
Duties and Responsibilities:
1. Research and Develop Innovative Solutions and Quantitative Models for positive impact on Hitachi’s business (e.g., Energy, Industry, Mobility, Smart Life and Financial Services).
2. Provide R&D support to Hitachi business units and group companies for commercialization of research prototypes. This includes Design, Implementation and Demonstration of Proof-of-Concept (PoC) and Working Proto-types,. Exploration of emerging tools, techniques, and technologies are expected.
3. Collaborate with cross-functional teams, eco-system partners and academia for business benefit.
4. Generate eminence via patents, publications, thought leadership, invited speakerships and conspicuous presence in forums of repute.
5. Add value to self through continuous learning and knowledge acquisition.
Requirements:
1. Academic Qualification: Bachelor’s degree in any discipline with strong quantitative flavor (e.g., STEM background like that in Science, Technology, Engineering and Management). Advanced qualifications like candidates with Master’s or Doctorate are welcome.
2. Strong Fundamentals: The candidate is required to build scientific models from first principles and hence need to have excellent understanding of basics in mathematics and statistics (e.g., differential equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen vectors, Markov models, Fourier analysis). Understanding of basic principles of business analytics like statistical distributions, regression, segmentation, decision-science algorithms is mandatory. Understanding of working principles of neural networks and underlying algorithms (e.g., CNN, RNN, LSTM, back-propagation, loss-functions, gradient descent) is a “plus”.
3. Hands-on Programming: Good programming skills in any one of the following languages is mandatory: C / C++ / Java / Python / Matlab.
4. Communication: Ability to articulate key messages concisely and precisely.
5. Collaboration: Good inter-personal and teaming skills.
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