Middle/ Senior Computer Vision Engineer

ANYWORK Co., Ltd

Job Description:

• Develop/train/fine-tune deep learning models, image processing algorithms and systems for inspection equipment leveraging deep learning algorithm design, utilization and implementation-related knowledge and experiences.
• Collaborate with cross-functional teams, including software engineers, and domain experts, to define project goals and requirements.
• Stay up-to-date with the latest advancements in computer vision, LVM, and Generative AI research and technologies, and identify opportunities to apply them in practical applications.
• Analyze and preprocess image data, apply feature engineering techniques, and conduct statistical analysis to extract meaningful insights.
• Collaborate with software engineers to integrate computer vision solutions into production systems and ensure their scalability and maintainability.

Requirements:

Must have:

• Bachelor’s, Master’s, or Ph.D. degree in Computer Science, electrical & electronic engineering, computer engineering, or relevant fields.
• Strong experience in developing and implementing AI computer vision models, algorithms, and techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformer-based models (e.g., DERT, ViT).
• Experience of machine vision/image processing-related algorithm development.
• In-depth knowledge of computer vision technologies, with practical experience in training and fine-tuning AI models.
• Hand-on experience in model deployment in server/edge devices.
• Proficiency in programming languages commonly used in computer vision, such as Python, and experience with AI/computer vision libraries and frameworks (e.g., Opencv, Paddle, TensorFlow, PyTorch).
• Strong problem-solving skills and the ability to think creatively to develop innovative solutions for image-related challenges.

Nice to have:

• Experience with Generative AI technology and LVM models.
• Experience with backend development

Interview: 1 – 2 rounds with Tech and Managerial teams

• 100% salary during 2-month probation
• Full-salary insurance starting right from probation period
• 15 month salary
• Health check once per year
• Accident insurance
• 300$ for each employee per year for personal training
• Oversea training opportunities
• Numerous internal activities: team bonding, team training,…
• Gifts for each employee on 30/4,1/5; 2/9;….(in cash)
• Bonus for employee having foreign language certificates.
• 5 working days per week to ensure work-life balance
• Big discounts when purchasing company products