Key Responsibilities :

- Develop and implement deep learning models for object detection, image recognition, and motion detection to enhance the capabilities of our video analytics platform.

- Design and optimize NLP models for extracting insights from video metadata and contextual information, improving the accuracy of event detection.

- Build and maintain data pipelines for efficient data ingestion, preprocessing, and feature engineering, ensuring high-quality data for model training.

- Collaborate with software engineers to integrate AI models into production systems, ensuring seamless deployment and optimal performance.

- Evaluate and benchmark different AI algorithms and techniques to identify the best solutions for specific use cases, driving continuous improvement in model accuracy and efficiency.

- Create interactive data visualizations to communicate model performance and insights to stakeholders, facilitating data-driven decision-making.

- Contribute to research and development efforts by exploring new AI techniques and technologies, keeping 4bell Technology at the forefront of innovation.

Required Skillset :

- Demonstrated expertise in developing and deploying machine learning models using Python and relevant libraries such as TensorFlow, PyTorch, or scikit-learn.

- Proven ability to design and implement deep learning architectures for computer vision tasks, including object detection (YOLO), image recognition, and motion detection.

- Solid understanding of NLP techniques and experience in building models for text analysis and information extraction.

- Experience with data visualization tools and techniques for effectively communicating insights from data.

- Strong analytical and problem-solving skills, with the ability to translate complex business requirements into technical solutions.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.