InnoVantage
InnoVantage

Software Engineer , Machine Learning  

InnoVantage

  • Makati, Philippines
    Unit 601 6/F RCI Building, 105 Rada Street Legaspi Village, San Lorenzo, Makati City, Makati, Metro Manila, Philippines
    Makati
    Metro Manila
    Philippines
    Philippines
  • Full timeFULL_TIME

Expired 6 years ago

2018-09-24T16:00:00+00:00
Job closed.

Job Description

  • 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

Minimum Qualifications

  • 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

Jobs Summary

Job Level
Associate / Supervisor
Job Category
IT and Software
Educational Requirement
Bachelor's degree graduate
Recruiter response to application
Always
Office Address
Unit 601 6/F RCI Building, 105 Rada Street Legaspi Village, San Lorenzo, Makati City, Makati, Metro Manila, Philippines
Industry
Computer Software / ​Engineering
Vacancy
no openings
Website
http://aiah.ai

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About 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.

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