Software Engineer , Machine Learning
InnoVantage
- Makati, PhilippinesUnit 601 6/F RCI Building, 105 Rada Street Legaspi Village, San Lorenzo, Makati City, Makati, Metro Manila, PhilippinesMakatiMetro ManilaPhilippinesPhilippines
- Toàn thời gianFULL_TIME
Đã hết hạn 6 years ago
2018-09-24T16:00:00+00:00Công việc đã đóng.
Miêu Tả Về Công Việc
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Design software and infrastructure for machine learning and deep learning models
- Create tools to simplify research and development of predictive models
- Deploy predictive models and integrate them with existing automation softwares
Trình độ tối thiểu
- At least 1 year experience in software design and development
- Experience in machine learning and deep learning is highly valued
- Knowledge of Python and its variety of machine and deep learning libraries such as tensorflow, scikit-learn, and a like.
- Experience in working with different web backend technologies using Python is an asset.
- Understanding of different machine learning and deep learning architectures is a plus.
- Flexible and adaptive when it comes to learning new technologie
- BSc/BA in Computer Science, Engineering or relevant field
Tóm tắt công việc
- Trình Độ Công Việc
- Phó Giám Sát/Giám Sát
- Ngành Nghề
- IT and Software
- Yêu cầu học vấn
- Tốt nghiệp Cử nhân
- Nhà tuyển dụng trả lời hồ sơ
- Always
- Địa chỉ văn phòng
- Unit 601 6/F RCI Building, 105 Rada Street Legaspi Village, San Lorenzo, Makati City, Makati, Metro Manila, Philippines
- Ngành nghề
- Computer Software / Engineering
- Vị trí đang tuyển
- 0 vị trí tuyển dụng mới
- Trang web
- http://aiah.ai
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Về InnoVantage
We believe that combining AI and humans will result in high-performing organizations. As such our mission is to empower shared services teams with AI and Automation tools so that they can create positive experiences for their customers while giving them the extra time that they need to improve themselves.