
Ai Ml Engineer
1 day ago
About the Role:
We are seeking a passionate and skilled AI/ML Engineer to join our team and lead the development
of a smart passenger counting system for public transport using camera-based detection, face
recognition, and re-identification (Re-ID) techniques. You will design and deploy models that detect,
track, and identify passengers to provide accurate in/out counts while preventing duplicate
recognition.
Key Responsibilities:
- Develop computer vision models for real-time passenger detection and tracking on moving
buses.
- Implement face detection, facial feature extraction, and re-identification algorithms to
count passengers without double-counting.
- Optimize models for edge devices (e.g., Jetson Nano, Raspberry Pi + Coral TPU, etc.).
- Train and fine-tune custom datasets for face recognition and Re-ID under varying lighting
and motion conditions.
- Work with hardware and software teams to integrate your solutions into an onboard system
(camera, processor, storage).
- Build privacy-compliant data pipelines and anonymization logic for onboard or cloud
processing.
- Benchmark and evaluate model performance (FPS, accuracy, latency, power usage).
- Collaborate with frontend/backend engineers to feed analytics into dashboards or APIs.
Must-Have Skills:
- Strong background in Computer Vision, Deep Learning, and Machine Learning.
- Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or ONNX.
- Experience with OpenCV, face detection libraries (e.g., MTCNN, Dlib, FaceNet), and object
tracking (SORT/Deep SORT/ByteTrack).
- Knowledge of face re-identification and metric learning (Siamese/Triplet networks).
Experience deploying models on edge devices (Jetson, Pi, Coral TPU, etc.).
Understanding of data privacy and GDPR compliance in facial recognition systems.
Nice to Have:
- Experience with YOLO, ByteTrack, MMDetection, DeepStream SDK, or GStreamer.
- Hands-on with video analytics, RTSP streaming, and camera sensor calibration.
- Knowledge of hardware interfacing, embedded Linux, or IoT deployments.
- Familiarity with passenger flow analytics, transportation systems, or smart surveillance
solutions.
Qualifications:
- Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related field.
- 2+ years of hands-on experience in building and deploying AI-powered vision systems.
- Strong analytical, debugging, and communication skills.
What We Offer:
- Opportunity to work on cutting-edge smart transportation solutions.
- Competitive salary and flexible working hours.
- Cross-functional collaboration in a growing tech-driven environment.
- Freedom to innovate and bring your ideas into production.
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