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Deskripsi
Job description for AI Engineer at Panasonic R&D Center Việt Nam
RESPONSIBILITIES
Research and develop AI / Deep Learning / Machine Learning applications for various business, product, service of Panasonic (Image processing, NLP, voice recognition, embedded AI).
REQUIREMENTS
- At least 2 years experiences in Digital Image Processing and Computer Vision.
- Good programming skill in one of languages C, C++. C#. Python.
- Familiar with Digital Image Processing, Computer Vision, Machine learning, Deep Learning (2D & 3D, OpenGL, Point cloud, etc).
- Experiences with Computer Vision projects like Image Segmentation, Object Detection, Image Retrieval, Image Classification with Opencv library is strong plus.
- Experiences with common Deep Learning frameworks (OpenCV, Tensor Flow, Pytorch, etc).
Nice to have
Experience in development and optimization of AI, Deep Learning or Machine Learning into embedded system such as Jetson TX board, FPGA board, ARM board, DSP board is a strong plus.
BENEFITS
- Career Path Development
- Clearly defined long-term multi-career roadmap;
- Unlimited development & training opportunities (Language Training, Technical Training, Soft-skill Training, On-job Training, etc.)
- Oversea business trips (Japan, China, Singapore, US, Mexico, EU, etc.)
- Work-life Balance
- Flexible working time that supports work-life balance (Core time: 9:00-16:00; 5 days from Monday - Friday/ week)
- Flexible lunch time;
- Additional special holiday
- Wellness
- Well-protected with 24/7 personal accident and medical care insurance;
- Well-designed Annual Health Check-up program;
- Activities
- Team-building activities; Birthday Party; Year-end party; Sport Day/ Family Day
- Summer Vacation (Trip to famous tourist spots domestic/ overseas,…)
- Cash Benefits
- Attractive and competitive salary & bonus package depend on abilities, performance and competencies
- Diversified allowance scheme
- Physical Environment
- Grade A Office with creative workplace and open space.
- Well-equipped facilities/ devices and professional working platforms.