Senior Machine Learning Engineer

Responsibilities

• 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.

Qualification

• 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.

-- we would like to hear your story