For a international company, with headquarter in Japan, that focuses on telecommunications and IT solutions, We are looking for AI Engineer
The company, a leader in IT and network technology integration, has over 100 years of innovation experience. Headquartered in Japan, it began operations in India in the 1950s, expanding into global markets. Initially focused on telecommunications, the company in India now serves various sectors, including public safety, logistics, retail, finance, and IT, with offices in New Delhi, Noida, Mumbai, Chennai, and Bengaluru. Through its Centre of Excellence, it offers cutting-edge analytics, big data, biometrics, and mobile solutions for both Indian and global markets.
Main responsibilities on this position are:
- As an AI Engineer (Machine Learning, Deep Learning) at this company, you will be responsible for the automatic analysis of stored voice data to make it truly useful for users,
- As an AI engineer (machine learning and deep learning domain), you will automatically analyze accumulated voice data to create products that are truly useful to users,
- You will work with the PM and development team to create products and services that are truly useful to users by automatically analyzing accumulated voice data,
- You will work with the PM and development team to turn the results of your research into products and services that are truly useful to users.
Requirements
- Knowledge of AI development programming languages and at least 2 years of work experience,
- Experience in Python programming,
- Experience with unstructured data such as video, still image, sound, ultrasound, smell, taste, IoT, natural language, etc.,
- Experience in machine learning and deep learning programming.
Nice to have:
- Experience implementing AI systems or services,
- Database related skills,
- Cloud environment skills such as GCP, AWS, Azure, etc.,
- Experience in C++ programming,
- Experience in other programming languages.
Benefits
- Flexible hours and remote work options are available,
- Opportunities for intensive growth and advancement within the company,
- Incentive program, savings plan, pension fund, cafeteria plan, employee discounts, housing assistance, recreational facilities, and medical care.
- Maternity and parental leave, leave for official matters, relocation leave, unpaid leave (childcare, eldercare), café points for parents and caregivers,
- insurances: Health, pension, annuity, long-term care, unemployment, and accident insurance,
- Courses and trainings: Introductory and functional training, career and life design seminars, internal and external recruitment systems, and options for side jobs within and outside the company.
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