Machine Learning Engineer
Responsibilities:
- Take care of research methodology design and execution for AI/ML related to NLP
- Working with Unstructured Data Team and Field Work Team for training data acquisition
- Working with large and complex datasets, including but not limited to, Geo-locations, images, and social media texts.
- Developing and evaluating AI models for different use cases.
- Designing new datasets and preparing data for new applications.
- Extending and maintaining existing AI automation.
- Working with Development Team for system integration
- Comply with the relevant requirement of ISO9001
Qualifications:
- Bachelor's degree or higher in computer science, applied mathematics, or related fields.
- Experience in professional software development.
- Proficient with deep learning toolkits such as TensorFlow, PyTorch, etc.
- Competent programming skills (e.g., Python, Java, C++, etc.)
- Passionate about functional programming
- Good written and spoken communication skills
It’s Great If You Have
- Experience in developing in Machine Learning or Artificial Intelligence
- Experience working with Apache Spark, TensorFlow, Caffe, Torch, Theano, or Scikit-Learn
- Solid Machine Learning background and familiar with standard speech and machine learning techniques.
- Experience building large-scale distributed products
