Job Requirements
This job post is managed by
Wei Zhuang (Lenard) Tan
Last active 2 years ago
Skills
Job description for AI Engineer -Computer Vision (Intern) at Ailytics
Company Description
Ailytics is Singapore's leading video analytics solution provider that helps construction companies create a safe and productive workspace to minimize risk and improve productivity across all of their facility footprints. The global industrial workplaces are known to be dangerous and less productive, with fatalities happening every 10 minutes and 35% of the time being spent on non-productive activities.
At Ailytics, we believe that workplace safety and productivity is non-negotiable and can be easily improved with the adoption of the right technology.
Using the latest breakthroughs in AI, we empower the workplace to have 24/7 monitoring of their operations, receive real-time violation notification and optimize their operational bottlenecks, resulting in up to 25% reduction of human and economic cost of workspaces.
We are seeking to expand our AI team in Singapore and are looking for someone with an entrepreneurial spirit to work on meaningful projects that solves business by leveraging the best Deep Learning and Computer Vision practices.
Job Description
We are looking for a passionate individual with the technical capabilities and entrepreneurial spirit to join our fast-paced and dynamic start-up environment. You will take complete ownership on maintaining our active deployments as well as get involved with the data collection and processing aspects of AI. From day one, you will have an immediate impact on the day-to-day efficiency of our operations, our overall growth, and, ultimately deliver amazing user experiences.
Responsibilities
- Data collection and processing for AI training
- Building of data pipelines and training of AI models
- Calibration of operational AI systems
- Optimize ML models and code for performance
- Conducting POCs and customer engagements for new AI usescases
Qualifications
- Bachelor's/Master's degree or equivalent experience in Computer Science or related field focused on computer vision and deep learning.
- Understand the workings of deep learning-based object detection frameworks (Yolo, CenterNet).
- Profound knowledge of python and at least 1 deep learning framework (TensorFlow, Pytorch)
- Self-starter. Ability to pick things up quickly with minimal guidance and be resourceful.
- A passion for solving problems and providing value-added solutions with attention to detail.
- All-round communication skills and ability to work collaboratively.
Benefits
- Challenging work in a fun and collaborative environment.
- Innovative team culture.
- Flexible working arrangements and casual work setting.
- Exposure to inner workings of an early-stage startup.