UNPAID VOLUNTEER - Technology Officer - Internet of Things (IoT) & Data Engineer

Digital Technology Institute for Development (DTID)

WorldwideFully remotePart TimeMid LevelInformation Technology
Posted 6h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 6 hours ago · apply link checked 5 hours ago

About the role

Responsibilities

  • Support design, development, testing and implementation of IoT and data-analysis solutions
  • Research and evaluate IoT technologies, datasets and analytical tools
  • Contribute to prototypes, pilots and proof-of-concept applications
  • Support data analysis, data science and data-modelling activities
  • Contribute technical input to research projects and publications
  • Prepare and maintain technical documentation and reports
  • Collaborate with technology specialists and teams across DTID

Requirements

  • Strong analytical, research and problem-solving skills
  • Good technical and programming capability
  • Experience in IoT, data analysis, data science or data modelling
  • Experience with Python and R
  • Familiarity with machine-learning frameworks such as TensorFlow, PyTorch or Scikit-learn
  • Knowledge of JSON, XML, CSV and APIs
  • Excellent written and spoken English

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science or related field
  • Cloud platform experience (AWS, Microsoft Azure or Google Cloud Platform)
  • Open-source contributions or GitHub portfolio
  • Knowledge of Arabic, Chinese, French, Russian, Spanish or another international language

Benefits

  • Unpaid volunteer position with practical experience in an international, volunteer-led organisation
  • Exposure to AI, blockchain and emerging digital technologies
  • Work within a fully remote, globally distributed team

About the Company

DTID is an international non-profit institute advancing responsible use of AI, blockchain and emerging digital technologies for sustainable development.

What we look for

  • Strong analytical, research and problem-solving skills
  • Good technical and programming capability
  • Experience in IoT, data analysis, data science or data modelling
  • Experience with Python and R
  • Familiarity with machine-learning frameworks such as TensorFlow, PyTorch or Scikit-learn
  • Knowledge of JSON, XML, CSV and APIs
  • Excellent written and spoken English
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science or related field
  • Cloud platform experience (AWS, Microsoft Azure or Google Cloud Platform)
  • Open-source contributions or GitHub portfolio
  • Knowledge of Arabic, Chinese, French, Russian, Spanish or another international language
PythonAWSData ManagementData ScienceIoTAzureData AnalysisPyTorchRTensorFlow
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