Senior Vision AI

3 days ago

Koratti Thrissur Kerala, India RIOD Logic Full time ₹ 20,00,000 - ₹ 25,00,000 per year

As a Senior Vision AI Engineer at RIOD, you will design and deploy intelligent vision systems for industrial, energy, and smart-infrastructure applications. You'll work on projects involving object detection, visual inspection, OCR/QR recognition, and Vision+IoT fusion, using edge devices such as NVIDIA Jetson, Advantech ICAM, and STM-based smart cameras.

Key Responsibilities

  • Design, train, and optimize computer vision models for real-time deployment on edge and cloud.
  • Develop pipelines for image/video acquisition, preprocessing, inference, and data annotation.
  • Implement algorithms for detection, segmentation, OCR, and tracking (YOLO, Detectron2, OpenCV, TensorRT).
  • Integrate vision models into embedded systems or IoT gateways using MQTT/HTTP/REST.
  • Work closely with firmware and cloud teams to build end-to-end edge-to-cloud solutions.
  • Conduct model performance analysis — latency, accuracy, FPS, and memory optimization.
  • Develop and maintain reusable tools for dataset creation, training, and model evaluation.
  • Collaborate with hardware engineers to select suitable sensors, optics, and lighting.
  • Prepare deployment documentation, technical reports, and contribute to product demos.

Skills & Qualifications

  • Proficiency in Python, OpenCV, PyTorch, TensorFlow, and ONNX/TensorRT.
  • Experience in model compression, quantization, and deployment on Jetson, Orin, Coral TPU, or ARM devices.
  • Strong understanding of image processing, classical CV algorithms, and deep learning architectures (CNNs, YOLOv8, EfficientDet, UNet, etc.).
  • Hands-on experience with real-time inference pipelines, GStreamer, RTSP, or video streaming frameworks.
  • Familiarity with Docker, Linux, Git, and MLOps workflows.
  • Knowledge of hardware integration, including camera modules (MIPI, USB, IP), sensor calibration, and lighting design.
  • Experience with Vision + IoT systems (e.g., Vision node → Cloud Dashboard).
  • Understanding of Edge AI frameworks such as DeepStream, Triton, or OpenVINO.
  • Exposure to RAG-based analytics or multimodal AI (Vision + LLM).
  • Prior work on industrial automation, energy monitoring, or manufacturing AI applications.

Job Types: Full-time, Permanent

Benefits:

  • Health insurance

Ability to commute/relocate:

  • Koratti, Thrissur, Kerala: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

  • How many experience do you have?
  • What's your current CTC?
  • What's your current notice period with your employer?

Work Location: In person

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