Machine Learning Engineer(Computer Vision)
Singapore, SG, 138562
IDEMIA
We make it safer and easier for people to pay, connect, be identified, access, travel and stay safe in the physical and digital worlds.
Since our founding, IDEMIA has been on a mission to unlock the world and make it safer through our cutting-edge identity technologies. Our technology leadership makes us the partner of choice for hundreds of governments and thousands of enterprises in over 180 countries, including some of the biggest and most influential brands in the world. In applying our unique expertise in biometrics and cryptography, we enable our clients to unlock simpler and safer ways to pay, connect, access, identify, travel and protect public places – at scale and in total security.
Our teams work from 5 continents and speak 100+ different languages. We strongly believe that our diversity is a key driver of innovation and performance.
Purpose
This role transforms requirements into software according to design, to maximize business value and customer satisfaction.Key Missions
Profile & Other Information
We are seeking a skilled AI Developer with expertise in computer vision to lead the design, development, and deployment of object/human detection and analysis solutions. The ideal candidate has experience building models that work reliably in real-world environments (e.g., varying lighting, occlusions, camera angles) and can optimize them for deployment on edge or cloud platforms.
Responsibilities
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Design and implement computer vision models for real-time human detection and people counting.
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Train, test, and validate machine learning models using large datasets and video feeds.
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Work with multi-modal data (RGB, IR, depth) from various camera sources.
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Optimize models for deployment on edge devices or in the cloud (e.g., NVIDIA Jetson, AWS, On-camera SOCs, etc.).
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Collaborate with hardware and software teams to integrate vision models into production systems.
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Monitor system performance and continuously improve model accuracy and efficiency.
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Stay updated with the latest research and techniques in computer vision and AI.
Requirements
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Bachelor's or Master’s degree in Computer Science, Electrical Engineering, AI/ML, or a related field.
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3+ years of hands-on experience in computer vision and deep learning.
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Proficiency with Python and libraries such as OpenCV, PyTorch, TensorFlow, or similar.
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Experience with object detection algorithms (YOLO, Faster R-CNN, SSD, etc.).
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Familiarity with real-time video processing and tracking (e.g., Deep SORT, ByteTrack).
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Knowledge of edge deployment strategies and hardware acceleration (e.g., TensorRT, ONNX).
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Strong problem-solving skills and the ability to work independently.
Preferred Qualifications
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Experience with crowd analysis, density estimation, or re-identification.
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Understanding of privacy-preserving AI (e.g., anonymization techniques).
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Previous work with surveillance or retail analytics systems.
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Familiarity with tools like NVIDIA DeepStream or OpenVINO.
By choosing to work at IDEMIA, you will join a unique tech company, offering a wide range of growth opportunities. You will contribute to a safer world, collaborating with an international and global community. We value the diversity of our teams and welcome people from all walks of life, regardless of how they look, where they come from, who they love, or what they think.
We deliver cutting edge, future proof innovation that reach the highest technological standards and we’re transforming, fast, to stay a leader in a world that’s changing fast, too.
At IDEMIA, people can develop their expertise and feel a sense of ownership and empowerment, in a global environment, as part of a company with the ambition and the ability to change the world.
Visit our website to know more about the leader in Identity Technologies
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Computer Vision Deep Learning Engineering Machine Learning ML models Nvidia Jetson ONNX OpenCV Privacy Python PyTorch R Research Security TensorFlow TensorRT Testing YOLO
Perks/benefits: Career development
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