AI Engineer Internship
Tapway
Date: 1 day ago
City: Petaling Jaya
Salary:
MYR 1,200
per month
Contract type: Intern
Job Description
Tapway is growing fast and is looking to expand our research and development team. Thus, we are looking for a artificial intelligence engineering intern to join our talented team. Responsibilities include:
Job Requirements
- Unique opportunity to build your own team
- Vibrant and dynamic work environment
- Great growth potential in a fast-growing AI and Cloud industry
Tapway is growing fast and is looking to expand our research and development team. Thus, we are looking for a artificial intelligence engineering intern to join our talented team. Responsibilities include:
- Deep learning framework construction, including machine learning, image processing and other algorithms and image processing tracking processing system development
- Construction and optimization of deep learning models to improve efficiency, performance and availability
- Track and research the latest techniques in image deep learning
- Develop and adapt advanced computer vision and state-of-the-art deep learning techniques
- Have fun in a highly dynamic team and drive innovations to continue as a leader in one of the fastest-growing industries
Job Requirements
- Strong background in machine learning and artificial intelligence with expertise in one or more of: computer vision, NLP, speech, optimization, deep learning, reinforcement learning, time series, generative models, signals, and distributed systems.
- Knowledge of common ML frameworks like PyTorch, TensorFlow etc.
- A passion for making ML methods robust and scalable
- Familiar with OpenCV, and able to write clean code in Python and/or C/C++ with it
- Experience with Amazon Web Services, AWS
- Strong knowledge of GIT version control software
- Excellent at creating and maintaining cross-functional working relationships.
- Excellent written and verbal communication skills
- Must be self-motivated, passionate, resourceful, adaptable, flexible, and able to manage multiple parallel-path projects
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