Computer Vision Engineer

21 hours ago

Ahmedabad, Gujarat, India Lucent Innovation Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Description
Job Title : Computer Vision Engineer

Experience : 23 Years

About The Role
We are seeking a talented Computer Vision Engineer with 23 years of hands-on experience in developing, implementing, and optimizing computer vision and deep learning models.

You will work on cutting-edge image and video analytics projects, develop real-time algorithms, and collaborate with cross-functional teams to ship production-ready solutions.

This role offers an exciting opportunity to work on innovative applications across AI-driven automation, object detection, image classification, OCR, and more.

Key Responsibilities : Vision & Deep Learning Development :

  • Develop and implement computer vision algorithms for image classification, object detection, segmentation, tracking, and related tasks.
  • Build, train, and optimize deep learning models using frameworks such as TensorFlow, Keras, PyTorch, OpenCV.
  • Implement real-time inference pipelines for edge devices, desktop, or cloud environments.

Data Pipeline & Preprocessing

  • Collect, preprocess, and annotate large image/video datasets.
  • Perform data augmentation, normalization, and dataset balancing.
  • Work with tools like LabelImg, COCO format, Roboflow, etc.

Model Optimization & Deployment

  • Optimize models for performance, speed, and accuracy (quantization, pruning, ONNX conversion).
  • Deploy models on production environments such as NVIDIA GPUs, TensorRT, ONNX Runtime, Docker,

AWS/GCP/Azure.

  • Develop scalable APIs or microservices to serve CV models.

Research & Innovation
- Experience deploying CV models with REST APIs (Flask/FastAPI).

  • Stay updated with recent advancements in CV architectures (YOLO, DETR, Mask R-CNN, Vision Transformers, etc.
  • Experiment with state-of-the-art techniques and propose improvements for model performance.
  • Contribute to building reusable modules, libraries, and internal CV & Documentation :
  • Work closely with product, engineering, and QA teams to understand project goals and define scalable solutions.
  • Document algorithms, model performance metrics, and deployment procedures.
  • Participate in code reviews and contribute to team knowledge Skills & Experience Skills :
  • 2 - 3 years of experience in Computer Vision, Deep Learning, or ML engineering.
  • Strong proficiency in Python and libraries such as NumPy, OpenCV, Pillow.
  • Hands-on experience with PyTorch and/or TensorFlow/Keras.
  • Experience with CV tasks such as :
  • Object detection (YOLO, SSD, Faster R-CNN)
  • Segmentation (UNet, Mask R-CNN)
  • OCR (Tesseract, EasyOCR, CRNN-based models)
  • Feature extraction & image enhancement
  • Familiarity with Git, cloud platforms (AWS/GCP), and Linux environments.

Soft Skills

  • Strong problem-solving and analytical skills.
  • Ability to translate business needs into technical solutions.
  • Excellent communication and teamwork.
  • A continuous learning mindset with passion for AI/ML / Bonus Skills :
  • Knowledge of Edge AI : Jetson Nano/Xavier, Coral TPU, Raspberry Pi.
  • Experience with MLOps, Docker, CI/CD pipelines.
  • Understanding of 3D vision (structure from motion, depth estimation).
  • Experience working with time-series video analytics

)

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