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Machine Learning Engineer(Computer Vision)

Machine Learning Engineer(Computer Vision)

IdemiaSingapore, SG
17 days ago
Job description

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

  • Uses programming, scripting and database languages to write software code that meets requirements and that optimizes software performances
  • Identifies existing software components, libraries and frameworks to reuse in the solutions
  • Applies knowledge of software development best practices, including coding standards, secure coding, code reviews, source control management, build processes, testing, and operations
  • Contributes to requirement (functional and non-functional) analysis and estimations
  • Supports software testing, deployment, maintenance, and evolution activities by correcting programming errors, responding to scope changes, and coding software enhancements
  • Builds up software structure including functions, design patterns, layers, etc.
  • Documents and demonstrates solutions by developing code comments, layouts, diagrams and charts
  • Designs and codes autonomously complex functions and full modules, within agreed quality, deadline and cost; asking for support of experienced peer when needed
  • Performs code reviews and basic troubleshooting
  • Participates in workshop with customer and external parties
  • Coaches less experienced software developers

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

Design and implement computer vision models for real-time human detection and people counting.

Train, test, and validate machine learning models using large datasets and video feeds.

Work with multi-modal data (RGB, IR, depth) from various camera sources.

Optimize models for deployment on edge devices or in the cloud (e.g., NVIDIA Jetson, AWS, On-camera SOCs, etc.).

Collaborate with hardware and software teams to integrate vision models into production systems.

Monitor system performance and continuously improve model accuracy and efficiency.

Stay updated with the latest research and techniques in computer vision and AI.

Requirements

Bachelor's or Master’s degree in Computer Science, Electrical Engineering, AI / ML, or a related field.

3+ years of hands-on experience in computer vision and deep learning.

Proficiency with Python and libraries such as OpenCV, PyTorch, TensorFlow, or similar.

Experience with object detection algorithms (YOLO, Faster R-CNN, SSD, etc.).

Familiarity with real-time video processing and tracking (e.g., Deep SORT, ByteTrack).

Knowledge of edge deployment strategies and hardware acceleration (e.g., TensorRT, ONNX).

Strong problem-solving skills and the ability to work independently.

Preferred Qualifications

Experience with crowd analysis, density estimation, or re-identification.

Understanding of privacy-preserving AI (e.g., anonymization techniques).

Previous work with surveillance or retail analytics systems.

Familiarity with tools like NVIDIA DeepStream or OpenVINO.

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Machine Learning • Singapore, SG

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