Description :

We are looking for a Machine Learning Engineer with strong expertise in Computer Vision to build and deploy advanced image recognition and processing solutions. The ideal candidate should have hands-on experience with CNN models and a solid understanding of real-world ML deployment.

Key Responsibilities :

- Design, develop, and optimize CNN-based models for image recognition tasks

- Build solutions for image classification, object detection, and segmentation

- Work on image preprocessing, augmentation, and feature engineering

- Train, evaluate, and fine-tune ML models for performance and accuracy

- Deploy models into production environments (API / edge / cloud)

- Collaborate with product and engineering teams for end-to-end delivery

- Handle large-scale image datasets and optimize pipelines

Required Skills & Experience :

- 3-7 years of experience in Machine Learning / Computer Vision

- Strong hands-on experience with CNN architectures (ResNet, VGG, YOLO, etc.)

- Expertise in image recognition & image processing techniques

- Strong programming skills in Python

- Experience with ML/DL frameworks : TensorFlow / PyTorch / Keras

- Good understanding of model evaluation metrics and optimization

Good to Have :

- Experience with OpenCV and real-time image processing

- Exposure to video analytics / OCR / facial recognition

- Knowledge of deploying ML models on cloud (AWS / GCP / Azure)

- Experience with edge devices or embedded ML