Working with large and complex datasets, comprising but not limited to, social media texts, images, and geo-locations.
Developing and evaluating AI models for different use cases in continuous delivery environment.
Designing new dataset and preparing data for new applications.
Extending and maintaining AI automation in the organization.
Applicantsfrom every training background are welcome (our team has people from anthropology, computer science, industrial engineering, and linguistics trainings).
Python, basic regular expression, and basic SQL is preferred.
Fluently able to explain how your code/model is working and why you designed it this way.
Experienced in at least one of the following areas: computer vision, information retrieval, natural language processing, and pattern recognition. Internship and self-directed learning projects can be counted.
Optional: Experience with some of these data analysis libraries and machine learning architectures, like Caffe2, MXNet, pandas, Scikit-learn, TensorFlow, and Torch, is a plus.
Optional: Experience with Unix-based server and cloud platform management (AWS, Google Cloud) is a plus.
Optional: Experience in software development with virtual environment or container like Docker or Python’s venv is a plus.
Some qualifications are missing? Fine! If you:
Have a positive mindset.
Open for feedback.
Keen to self-managed and develop your own learning path.