About the HITACHI:
We bring together the world’s greatest minds to help breathe life into new possibilities – and drive innovation for a better future. That’s why we look for individuals who share our pioneering spirit, have imaginative ideas and are fearless when it comes to tackling the world’s biggest challenges.
Our people love technology – and they love making a difference. They have a passion for finding new solutions and working with brilliant colleagues. Every day they dedicate themselves to a huge range of exciting projects, contributing to the Hitachi vision around the globe.
From engineering new sustainability solutions that conserve water and energy to creating the infrastructure for the smart cities of tomorrow, there’s no challenge too great for our pioneers. And there’s no shortage of opportunities for you to make a difference.
Come and experience the dynamic, collaborative and creative environments where your ideas are welcome and new discoveries are waiting. To help you grow to your full potential, we strive to support our employees in their career aspirations and promote the freedom to explore new horizons.
| Company Name | Hitachi |
| Name of Post | Data Scientist / AI-ML Engineer |
| Qualification | BE/B.Tech/ME/M.Tech/MCA |
| Batch | 2020,2021, 2022, 2023 Batch |
| Experience | Fresher |
| Job Location | Bangalore |
| Salary | Not mentioned |
| Application Mode | Online |
| Official Website | www.hitachi.com |
- 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).
- 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.
- Collaborate with cross-functional teams, eco-system partners and academia for business benefit.
- Generate eminence via patents, publications, thought leadership, invited speakerships and conspicuous presence in forums of repute.
- Add value to self through continuous learning and knowledge acquisition.
Requirements:
- 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.
- 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”.
- Hands-on Programming: Good programming skills in any one of the following languages is mandatory: C / C++ / Java / Python / Matlab.
What are we looking for:
- Good communication skills- Fluent in spoken & written English.
- Team player & interpersonal relationship abilities.
- Strong attention to detail and analytical skills.
- Empathy and love for helping people.
- Right Attitude and the ability to thrive in a fast-paced environment.
- Should be able to multitask: ability to prioritize and manage project related activities.
- Possess Openness, reliability, punctuality and flexibility at given tasks.
- Self-learner, independent problem-solver attitude.
Selection process:
- Online Application Submission
- Shortlisting test- Aptitude/Technical/Coding test
- Interview
- Get Offered
- Step 1: Click on the below link & Apply for the post.
- Step 2: Fill the application form & Submit.
- Step 3: Concern team will review the application & communicate for next process.
