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About the role
As a motivated and enthusiastic NLP / DL Engineering / Architect at our Delhi-based company, you will have the opportunity to work on cutting-edge AI solutions that optimize import and export logistics operations. You will collaborate closely with senior engineers and data scientists to develop and implement innovative technology. Key Responsibilities: - Assist in developing and implementing NLP models for tasks like text classification, sentiment analysis, and named entity recognition on logistics-related documents. - Contribute to designing and training deep learning models for supply chain applications, including predictive analytics and anomaly detection. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Preprocess and clean large datasets for model training and evaluation. - Stay updated with the latest research and advancements in NLP and Deep Learning. - Support the deployment and monitoring of AI models in production environments. Qualifications Required: - Strong foundation in computer science. - Passion for artificial intelligence, particularly in NLP and Deep Learning. Note: Omitting any additional details about the company mentioned in the job description. As a motivated and enthusiastic NLP / DL Engineering / Architect at our Delhi-based company, you will have the opportunity to work on cutting-edge AI solutions that optimize import and export logistics operations. You will collaborate closely with senior engineers and data scientists to develop and implement innovative technology. Key Responsibilities: - Assist in developing and implementing NLP models for tasks like text classification, sentiment analysis, and named entity recognition on logistics-related documents. - Contribute to designing and training deep learning models for supply chain applications, including predictive analytics and anomaly detection. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Preprocess and clean large datasets for model training and evaluation. - Stay updated with the latest research and advancements in NLP and Deep Learning. - Support the deployment and monitoring of AI models in production environments. Qualifications Required: - Strong foundation in computer science. - Passion for artificial intelligence, particularly in NLP and Deep Learning. Note: Omitting any additional details about the company mentioned in the job description.