Machine Learning Engineer II - PyTorch/Tensorflow (3-7 yrs)

Responsibilities :

- Design, develop, and implement machine learning models using frameworks like PyTorch or TensorFlow to solve problems in computer vision, image processing, and OCR.

- Utilize OpenCV and other computer vision libraries to develop algorithms for image recognition, feature extraction, and object detection.

- Build and optimize OCR systems to extract and analyze text from various document types with high accuracy and speed.

- Apply scikit-learn (SKLearn) for preprocessing, feature selection, and model evaluation in various ML tasks.

- Optimize models for speed and efficiency, ensuring they can run on various platforms, including cloud and edge devices.

- Work closely with software engineers, product managers, and other stakeholders to integrate ML models into production systems.

Requirements :

- Proficiency in PyTorch or TensorFlow, with a strong understanding of deep learning algorithms and architectures.

- Extensive experience with OpenCV and other computer vision tools, with a focus on image processing, object detection, and feature extraction.

- Hands-on experience in developing and optimizing OCR systems using libraries such as Tesseract or similar tools.

- Strong knowledge of scikit-learn (SKLearn) for model evaluation, feature engineering, and preprocessing.

- Advanced proficiency in Python, with experience in developing and deploying machine learning models in production environments.

- Strong background in developing and implementing machine learning and deep learning algorithms, particularly in computer vision and OCR.

- Familiarity with cloud platforms such as AWS, GCP, or Azure for deploying and scaling ML models.

- Bachelor's or Master's degree in Computer Science or Engineering.

- 3+ years of experience in machine learning, with a focus on computer vision, OCR, and image processing.