Omniscien Technologies is a market-leading artificial intelligence and language technology company that develops and provides ground-breaking automated machine translation and language processing technologies, products and services under the Language Studio™ brand to a wide variety of customers throughout the world including governments and some of the world’s leading companies and best known global brands.
We are currently looking for interns with AI and NLP skills who can learn and apply their skills in an exciting and fast-moving, leading-edge environment!
What we offer
We offer you an exciting and unique opportunity to join our team for the duration of this internship, learn from a team with leading-edge capabilities and work on a market-leading platform and workflow. This will give you insight into real-life challenges in a large language processing environment where language processing, machine translation, and machine learning converge.
We offer you the ability to join our R&D team in Bangkok, Thailand and also experience one of the most exciting countries in Southeast Asia.
What we expect
We expect you to have a background in natural language processing (NLP) and good command of English, plus the willingness to work with our team in Bangkok.
- Design, develop, and deploy advanced NLP and AI models and algorithms tailored to our specific business needs.
- Collaborate with other team members to integrate AI and NLP models into our existing platforms and applications.
- Conduct research on the latest AI and NLP techniques and technologies, staying up-to-date on the latest industry trends.
- Troubleshoot and improve current systems and applications, ensuring they meet the quality and performance standards.
- Prepare clear and concise reports explaining complex technical concepts and findings to non-technical team members and stakeholders.
- Follow the software development lifecycle process to ensure all projects are completed on time and meet specifications.
- Perform tests and troubleshoot issues before final delivery
- Identify, transform, and create appropriate datasets for Machine Learning technologies.
- Train models and carry out evaluation experiments on the developed models.
- Identify and implement the tools and algorithms appropriate for Natural language processing assignments.
- Research, develop and evaluate advanced language processing algorithms and implementations.
- Build and implement advanced machine learning models for language processing workflows.