As an ideal candidate for this role, you will be responsible for the following: - Experience in end-to-end Passive & Active network connectivity and high availability Administration of Server, Desktop, Think clients, and other IT infrastructure systems. - Knowledge in AD security groups & Group policies. - Experience in IT and OT network segregation and security standards. - Experience in monitoring and managing the network health and security of network communication. - Experience in NAC, Wireless controllers, Firewall implementation, and configuration. - Knowledge in GxP standards, IT Computer system validation, IT networks security, material procurement, project implementation, etc. - Networking & System Administration. - Proficiency in Microsoft Office, MS Operating systems, Server/Desktop Virtualization. - Facilitate the IT Infrastructure to establish DES/ MES setup Data center BuildIT/OT Network and Infrastructure setup (Passive/ Active, NAC, AD, Firewall, etc.). - Wired and Wireless network Infrastructure (Switching/Routing/WIFI). - Understand IEC62443 guidelines in OT Infra, deployment & validation of these recommendations while design/setup IT Infra in coordination with CFT Servers HW Infra commissioning in coordination with IT Infra, OEMFacilitate PCS/MES deployment Systems deployment in OT (Tablets, Barcode devices, RDP, etc.). - Implement the Network security monitoring system and document all data follow/analytical information about data security/trend monitoring Technical evaluation, Material sourcing, vendor coordination, and inventory management. In addition to the mentioned responsibilities, the candidate will also be involved in technical evaluation, material sourcing, vendor coordination, and inventory management. As an ideal candidate for this role, you will be responsible for the following: - Experience in end-to-end Passive & Active network connectivity and high availability Administration of Server, Desktop, Think clients, and other IT infrastructure systems. - Knowledge in AD security groups & Group policies. - Experience in IT and OT network segregation and security standards. - Experience in monitoring and managing the network health and security of network communication. - Experience in NAC, Wireless controllers, Firewall implementation, and configuration. - Knowledge in GxP standards, IT Computer system validation, IT networks security, material procurement, project implementation, etc. - Networking & System Administration. - Proficiency in Microsoft Office, MS Operating systems, Server/Desktop Virtualization. - Facilitate the IT Infrastructure to establish DES/ MES setup Data center BuildIT/OT Network and Infrastructure setup (Passive/ Active, NAC, AD, Firewall, etc.). - Wired and Wireless network Infrastructure (Switching/Routing/WIFI). - Understand IEC62443 guidelines in OT Infra, deployment & validation of these recommendations while design/setup IT Infra in coordination with CFT Servers HW Infra commissioning in coordination with IT Infra, OEMFacilitate PCS/MES deployment Systems deployment in OT (Tablets, Barcode devices, RDP, etc.). - Implement the Network security monitoring system and document all data follow/analytical information about data security/trend monitoring Technical evaluation, Material sourcing, vendor coordination, and inventory management. In addition to the mentioned responsibilities, the candidate will also be involved in technical evaluation, material sourcing, vendor coordination, and inventory management.

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.