Computer Vision Specialist - Expert (Kecilin)

🙌🏻 About Us

We believe in internet equality for the world. Kecilin is a modern self-crafted data compression startup that has been established since 2018. Our aim is to make people connect easier with others through smaller yet optimized files—such as photos, videos, even apps!

Slow internet connections must be frustrating. Kecilin believes that large files make people throw their hands up, waste of time and money. Kecilin wants to help you to lessen your frustration through smaller files so you can save more time to upload and download it on the virtual world.

💰Salary

Rp 5,000,000 - 10,000,000

👑 Job Role

• Implement and deploy AI solutions, integrating them into existing software systems or developing new applications
• Perform rigorous testing and validation of AI models to ensure accuracy and robustness
• Communicating with stakeholders to gather requirement and feedback
• Working with the development team to integrate Computer Vision Components into the Application
• Document and communicate AI development processes, methodologies, and outcomes
• Provide technical expertise and guidance to internal teams and clients on AI and computer vision solutions
• Developing and Implementation Object Detection and Face Recognition
• Collect and preprocess data for training AI models, ensuring data quality and integrity
• Evaluation and optimize Object Detection Algorithm and Face Recognition Algorithm

⛩️ Requirements

• Strong knowledge of machine learning, deep learning, and computer vision algorithms and frameworks, such as TensorFlow, PyTorch, OpenCV
• At least 5 years of proven experience in AI development, specifically in the field of computer vision
• Strong attention to detail and the ability to deliver high-quality results within deadlines
• Proficiency in programming languages such as Python, C++, or Java
• Experience with open-source computer vision libraries such as OpenCV
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field from a top university
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques
• Experience with face recognition frameworks such as OpenFace, FaceNet, and DeepFace
• Proven track record of delivering computer vision projects from concept to deployment
• Experience with object detection frameworks such as YOLO, Faster R-CNN, and SSD

🎁 Perks

• THR / Bonus system
• Period Leave
• Competitive Salary