AI Engineer – Fullstack (NLP, Computer Vision)

freeC's Client

• Lead in exploring the latest research in NLP and Computer Vision, identifying innovative techniques, and converting them into practical, scalable solutions. Stay current with advancements in AI trends and technologies.
• Oversee the full lifecycle of AI model development, including creation, training, deployment, and maintenance, with a focus on NLP and Computer Vision.
• Collaborate closely with product teams to integrate advanced computer vision capabilities into real-world products and services.
• Drive efforts in data collection, processing, and storage to support the development of robust AI models.
• Offer technical mentorship and guidance to junior AI engineers and data scientists, fostering an environment of continuous learning and growth.

Requirements:

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• A minimum of 4 years of experience in developing and deploying NLP and computer vision models in a product development environment.
• Expertise in one or more areas such as object detection, image classification, image segmentation, 3D reconstruction, generative models (e.g., GANs), or chatbot development.
• Proficiency in deep learning frameworks like TensorFlow and PyTorch.
• Proven track record of publications in top computer vision conferences or successful commercial deployment of computer vision systems.
• Strong programming abilities in Python, along with experience working with NLP libraries.

Preferred:

• Excellent communication skills, capable of collaborating with both technical and non-technical team members.
• Proactive, enthusiastic, and hardworking.
• Ability to work independently, exercising discretion and sound judgment in decision-making and problem-solving.

• Competitive salary
• Enjoy full insurance benefits and comply with labor laws.
• Parking allowance, lunch allowance at the office
•  Bonus/gifts on holidays and special occasions, 13th month salary
•  Young, friendly, and talented colleagues
•  Receive specialized training and guidance to improve expertise.