Ai Ml Engineer

• 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.