Tata Elxsi | NLP Engineers | Bengaluru | Bharat | BigDataKB.com | 2023-02-22

Tata Elxsi, the forefront of the latest advancements in AI technology, where the team of passionate individuals are dedicated to making a real-world impact through innovative implementation. Here, you will find a group of like-minded individuals who are continuously exploring new AI techniques and technologies to improve the accuracy, efficiency, and scalability of our models. What sets us apart is our collaborative approach, allowing for free experimentation and quick iterations to arrive at the best solutions. We are in search of someone who shares the same passion and drive as us, and is excited about the opportunity to make a meaningful difference in the field of AI. Join us in our pursuit of advancing AI to the next level and make the future of ‘AM PM AI’ a reality.

We are looking for bright and passionate NLP Engineers with below mentioned skills and expertise

• Develop and implement NLP models, including text classification, entity recognition, and sentiment analysis
• Design and implement scalable NLP systems that can handle large volumes of text data
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Conduct research to stay up-to-date on the latest NLP advancements and incorporate new techniques into our systems
• Debug and optimize existing NLP models and systems to improve accuracy and performance
• Participate in code reviews and contribute to best practices for NLP engineering
• Strong knowledge of NLP algorithms, such as text classification, entity recognition, and sentiment analysis
• Experience with deep learning frameworks, such as TensorFlow or PyTorch, and NLP libraries, such as spaCy or NLTK
• Ability to work with large text datasets and design scalable NLP systems
• Strong problem-solving and critical thinking skills, with the ability to debug complex NLP models
• Excellent written and verbal communication skills, with the ability to work effectively with a cross-functional team.