Lucent Innovation - Computer Vision Engineer - Deep Learning/Machine Learning

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 :

Computer 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 :

- 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 frameworks.

Collaboration & 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 sharing.

Required Skills & Experience :

Technical 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 innovation.

Good-to-Have / 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