Search by job, company or skills
Senior AI Engineer Fullstack (NLP, Computer Vision)
Job overview and responsibility
- Stay at the forefront of NLP and Computer Vision research, identifying promising techniques and translating them into practical, scalable solutions. Stay up-to-date with the latest AI trends and technologies
- Oversee the end-to-end development of AI models and systems. Create, train, and deploy machine learning models, and maintenance. particularly in NLP and computer vision
- Product Integration: Work closely with product teams to embed cutting-edge computer vision capabilities into our real-world products and services.
- Data Strategy and Management: Lead efforts in data collection, processing, and storage strategies to support robust AI model development.
- Technical training: Provide technical guidance and mentorship fresher to junior AI engineer and data scientists, fostering an environment of continuous learning and improvement.
Required skills and experiences
- Bachelor's in Computer Science, Artificial Intelligence, Machine Learning, or a related field..
- At least 4 years of experience in developing and deploying NLP, computer vision models within a product development environment.
- Deep expertise in one or more of the following areas: object detection, image classification, image segmentation, 3D reconstruction, generative models (GANs, etc.), chatbot,..
- Proficient in deep learning frameworks (TensorFlow, PyTorch).
- Strong track record of publications in top-tier computer vision conferences and/or successful commercial deployment of computer vision systems.
- Strong programming skills in Python and familiarity with NLP libraries
Preferred skills and experiences
- Excellent communication skills, able to collaborate with both technical and non-technical stakeholders.
- Be proactive, enthusiastic, hard-working.
- Ability to work independently while using discretion in decision making and sound judgment in problem solving.
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.
Report to
CTO
Interview process
1 Offline Interview only with CTO and Tech Lead
Date Posted: 20/10/2024
Job ID: 97257327