Padmi

NLP / DL Engineer

Delhi NCRPosted 2 months ago
Computer ResearchMid-levelFull Time; Regular
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As a talented and experienced NLP / DL Engineer, you will play a crucial role in developing and deploying cutting-edge Natural Language Processing and Deep Learning models to enhance user experience, improve recommendation systems, and drive innovation in the food tech industry. This position provides an exciting opportunity to work with vast datasets and advanced technologies within a dynamic startup environment. Key Responsibilities: - Design, develop, and implement NLP and DL models for various tasks including text classification, sentiment analysis, named entity recognition, question answering, and recommendation systems. - Collaborate effectively with product managers and engineers to comprehend business requirements and translate them into technical solutions. - Preprocess and cleanse large volumes of text data, ensuring high data quality and integrity throughout the process. - Evaluate and benchmark model performance, actively identifying areas for enhancement to ensure optimal results. - Stay informed about the latest research and advancements in the field of NLP and DL to incorporate best practices into projects. - Deploy models into production environments and continuously monitor their performance to maintain efficiency. - Contribute towards the enhancement of the overall ML infrastructure and tooling to support the team's goals effectively. Qualifications Required: - Bachelor's/Master's degree in Computer Science, Data Science, or related field. - Proven experience in developing and implementing NLP and DL models, preferably within a similar industry. - Strong proficiency in programming languages such as Python, R, or Java. - Familiarity with frameworks like TensorFlow, PyTorch, or Keras. - Excellent analytical and problem-solving skills with a keen eye for detail. - Ability to work collaboratively in a fast-paced environment and effectively communicate with cross-functional teams. (Note: No additional details about the company were provided in the job description.) As a talented and experienced NLP / DL Engineer, you will play a crucial role in developing and deploying cutting-edge Natural Language Processing and Deep Learning models to enhance user experience, improve recommendation systems, and drive innovation in the food tech industry. This position provides an exciting opportunity to work with vast datasets and advanced technologies within a dynamic startup environment. Key Responsibilities: - Design, develop, and implement NLP and DL models for various tasks including text classification, sentiment analysis, named entity recognition, question answering, and recommendation systems. - Collaborate effectively with product managers and engineers to comprehend business requirements and translate them into technical solutions. - Preprocess and cleanse large volumes of text data, ensuring high data quality and integrity throughout the process. - Evaluate and benchmark model performance, actively identifying areas for enhancement to ensure optimal results. - Stay informed about the latest research and advancements in the field of NLP and DL to incorporate best practices into projects. - Deploy models into production environments and continuously monitor their performance to maintain efficiency. - Contribute towards the enhancement of the overall ML infrastructure and tooling to support the team's goals effectively. Qualifications Required: - Bachelor's/Master's degree in Computer Science, Data Science, or related field. - Proven experience in developing and implementing NLP and DL models, preferably within a similar industry. - Strong proficiency in programming languages such as Python, R, or Java. - Familiarity with frameworks like TensorFlow, PyTorch, or Keras. - Excellent analytical and problem-solving skills with a keen eye for detail. - Ability to work collaboratively in a fast-paced environment and effectively communicate with cross-functional teams. (Note: No additional details about the company were provided in the job description.)

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