Machine Learning Engineer (NLP Chinese focus) [2]
- No equity
- Remote •
- 1 year of exp
- Contract
Available
About the job
At Sixvertex we use emerging technologies that empower people to perform more meaningful, challenging and productive activities.
Join as a Machine Learning Engineer with deep understanding in Natural language processing in Chinese language,deep learning, deploying models in production, applying data science into application and product development which would help transforming the business and bring values to the company.
Responsibilities:
- Research and Development of Machine Learning solutions
- Develop web sites, and server program using Java to implement ML solutions
- Using the power of large amount of data to tackle complex NLP and machine learning problems
- Develop processes for automatic deployment of ML models upon improvements and train deep learning models at scale
- Productionize trained models (potentially on edge)
- Perform data management and analytics tasks in data warehouse
- Responsible for system design, development, testing, implementation, enhancement and maintenance under cloud and in-house environment
Requirements:
- Degree in Data Science and Analytics, Applied Data Science, Computer Science, Statistics, or equivalent
- Programming knowledge in Java, Python, HTML and JavaScript
- Relevant work experience in Natural Language Processing, Machine Learning or related sub-fields
- Knowledge in Spring, Hibernate, and Data Warehouse Management System will be an advantage
- Able to meet tight deadlines and work under pressure
- Work Independently
- Strong analytic and communication skills
Sixvertex is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic.
Send in your CV to [email protected] Please mention the position you're applying for in the subject. Eg: 'ML Engineer - NLP Chinese'