Enginering NLP Machine Learning
- 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.
- 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
- 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.
Assignment updated + prioritize candidates with training experience