Machine Learning Researcher
3 weeks ago
KantanAI is a pioneer in Neural Machine Translations solutions. Its market leading platform, KantanMT, enables global organizations to customize, improve and deploy Neural MT solutions at scale. Their KantanStream platform enables modern enterprises to deliver digital content in native languages with always-on, AI enhanced, crowd- sources translation services. KantanStream combines the speed and cost-benefits of machine translation with the authenticity and precision that only a native speaker can deliver.KantanAI is part of the Keywords Studios Group, the largest provider of global services to the video games and media entertainment industries. It has offices in over 50 locations and delivers services to 23 of the top 25 gaming companies. We are looking for a Machine learning Researcher to work as part of a team to build and implement cloud-based enterprise machine translations solutions. You will work with other developers and product managers throughout the software development… life cycle working on cloud-based technologies that are built on Amazon Web Services.In this role you should be a team player with a keen eye for detail and problem-solving skills. If you also have experience in object-oriented design, AWS, Cloud based services and popular coding languages (e.g. PHP, Python, Perl, JQUERY, JavaScript), we would like to meet you. Responsibilities: Conduct research to advance the field of machine translation. Develop and refine machine translation models and algorithms. Gather and curate large datasets for training and evaluating MT models. Clean, preprocess, and annotate text data to make it suitable for training. Design and implement neural network architectures for machine translation. Train machine translation models using various techniques, such as sequence-to-sequence models and transformer models. Innovate and experiment with novel techniques to improve translation quality and efficiency. Work on reducing common translation errors and challenges, like idiomatic expressions and rare languages. Develop and apply evaluation metrics to assess the quality of machine-translated text. Compare and benchmark different models using established evaluation protocols. Adapt machine translation models to specific domains (e.g., Games, Player Support) to enhance translation accuracy within those contexts. Fine-tune pre-trained models on specific tasks or languages to achieve better performance in targeted scenarios. Stay up-to-date with the latest advancements in the field of machine translation by reading research papers and attending conferences. Write research papers detailing new findings, techniques, and improvements. Present research findings at conferences, workshops, and seminars
Company:Keywords Studios
Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years):Senior (5+ years of experience)
Tagged as: Industry , Ireland , Machine Learning , Machine Translation , Neural Networks , NLP
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