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 a continuous delivery environment.
Designing new dataset and preparing data for new applications.
Extending and maintaining AI automation in the organization.
Applicants from every training background are welcome (our team has people from anthropology, computer science, industrial engineering, and linguistics training).
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 computer vision and natural language processing, Experience with some of these data analysis libraries and machine learning architectures, like Caffe2, MXNet, pandas, Scikit-learn, TensorFlow, and Torch.
Experience with Unix-based server and cloud platform management (AWS, Google Cloud)Experience in software development with a virtual environment or container like Docker or Python’s venv
Excellent problem solving, critical thinking, and interpersonal skills
Some qualifications are missing? Fine! If you:
Have a positive mindset.
Open for feedback.
Keen to self-manage and develop your own learning path.