Job
Description
You are a skilled Data Science Engineer sought by CARBYNETECH to join the Data Science & Analytics department. Your strong background in deep learning, particularly with CNN, RNN, and LSTM models, will be crucial. You will apply your expertise to computer vision, NLP, and Industry 4.0 applications, contributing to innovative solutions in the accounting and auditing industry. - Develop and implement deep learning models using CNN, RNN, and LSTM architectures. - Apply deep learning techniques to computer vision tasks, including image analysis and object detection. - Utilize NLP expertise, including experience with pre-trained language models like Transformer/GPT/BERT. - Contribute to Industry 4.0 processes, such as inventory optimization and quality control. - Write clean, well-documented code adhering to programming standards and version control. - Communicate effectively with team members and stakeholders. Qualifications / Requirements: - Bachelor's degree in a relevant field (B.Sc, BCA, B.Tech/B.E.). - 3-7 years of experience in data science, with a focus on deep learning. - Proficiency in Python programming. - Strong understanding of deep learning concepts and applications. - Experience with CNN, RNN, and LSTM models. - Excellent communication skills. Preferred Skills / Attributes: - Experience with computer vision and image processing techniques. - Familiarity with NLP and language modeling. - Knowledge of code production standards and version control systems. - Experience with Industry 4.0 applications. - Ability to work independently and as part of a team. You are a skilled Data Science Engineer sought by CARBYNETECH to join the Data Science & Analytics department. Your strong background in deep learning, particularly with CNN, RNN, and LSTM models, will be crucial. You will apply your expertise to computer vision, NLP, and Industry 4.0 applications, contributing to innovative solutions in the accounting and auditing industry. - Develop and implement deep learning models using CNN, RNN, and LSTM architectures. - Apply deep learning techniques to computer vision tasks, including image analysis and object detection. - Utilize NLP expertise, including experience with pre-trained language models like Transformer/GPT/BERT. - Contribute to Industry 4.0 processes, such as inventory optimization and quality control. - Write clean, well-documented code adhering to programming standards and version control. - Communicate effectively with team members and stakeholders. Qualifications / Requirements: - Bachelor's degree in a relevant field (B.Sc, BCA, B.Tech/B.E.). - 3-7 years of experience in data science, with a focus on deep learning. - Proficiency in Python programming. - Strong understanding of deep learning concepts and applications. - Experience with CNN, RNN, and LSTM models. - Excellent communication skills. Preferred Skills / Attributes: - Experience with computer vision and image processing techniques. - Familiarity with NLP and language modeling. - Knowledge of code production standards and version control systems. - Experience with Industry 4.0 applications. - Ability to work independently and as part of a team.
