AI Engineer (NLP)
Enginering NLP
Salary
Location
Benefits
13th month salary
Laptop/desktop for works
Travel/company trips
Salary review
Others
Job Overview And Responsibility
Research & Development: - Stay at the forefront of NLP research, identifying promising techniques and translating them into practical, scalable solutions. Stay up-to-date with the latest AI trends and technologies - Help deploy AI models into production and integrate them with existing systems or applications. - Write clean, efficient, and scalable code to implement AI algorithms and data processing tasks - Design, plan, and execute tasks related to the project - Product Integration: work closely with the team to ensure successful implementation and integration of algorithms.. - Manage Data: Collaborate on collecting, cleaning, and preprocessing data to be used for AI models.
Required Skills and Experience
- Bachelor's in Computer Science, Artificial Intelligence, Machine Learning, or a related field.. - At least 2 years of experience in developing and deploying NLP models within a product development environment. - Proficient in deep learning frameworks (TensorFlow, PyTorch). - Strong programming skills in Python and familiarity with NLP libraries
Why Candidate should apply this position
- Competitive salary - Enjoy full insurance benefits and comply with labor laws. - Allocate modern working devices: Computer, Second Monitor and anything you need. - Lunch allowance at the office - Parking allowance is covered by the company. - Unlimited tea, coffee,... at the office - Salary review 2 times/year, 13th month salary - Gifts for holidays: International Women's Day, Mid-Autumn Festival, birthdays, Lunar New Year,... - Yearly company trip & Year End Party. - Young, friendly and talented colleagues - Receive specialized training and guidance to improve expertise.
Preferred skills and experiences
- Excellent communication skills, able to collaborate with both technical and non-technical stakeholders. - Be proactive, enthusiastic, hard-working, work independently.
Report to
CTO
Interview process
Take-home technical assignment ->1 Offline Interview only with CTO and Tech Lead
Apply for this job
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