Ai Ml Engineer

11 hours ago

Hyderabad, Telangana, India Sr Network Systems Full time ₹ 1,04,000 - ₹ 1,30,878 per year

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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