Responsibilities:

• Develop and implement computer vision and NLP solutions for machine learning applications.
• Design and develop deep learning models using PyTorch, TensorFlow, OpenCV, and Hugging Face.
• Implement algorithms for object detection, segmentation, classification, and tracking.
• Work with large datasets to develop models for image and text processing.
• Collaborate with data scientists and other stakeholders to understand requirements and implement solutions.
• Use NLP techniques for text classification, sentiment analysis, and entity recognition.
• Use computer vision techniques for face recognition, object detection, and scene understanding.
• Implement model evaluation and testing procedures to ensure model accuracy and efficiency.
• Stay up to date with the latest deep learning frameworks, techniques, and best practices.

Qualifications:

• Bachelor's degree in computer science, Electrical Engineering, or a related field.
• 3-5 years of experience in computer vision and NLP engineering.
• Experience with deep learning frameworks such as PyTorch and TensorFlow.
• Strong programming skills in Python.
• Experience with computer vision libraries such as OpenCV and object detection libraries such as Hugging Face.
• Familiarity with NLP techniques and libraries such as NLTK and spaCy.
• Experience with image and text processing techniques.
• Familiarity with machine learning algorithms and statistical modeling.
• Experience working with large-scale datasets.
• Excellent communication and collaboration skills.

Please Note: Only shortlisted candidates will be contacted.