NLP Engineer

You should have 5 to 8 years of good working experience in NLP. Your experience should include working with Text Classification, NER models for fine-tuning and zeroshot applications. Proficiency in Huggingface and Pytorch is required. Additionally, experience with Document Processing is expected. In Python / AI Engineering, you should be proficient in building re-usable and scalable data pipelines using Python. Experience with NoSQL databases, data analysis, ML/DL frameworks, web API frameworks, and unit testing frameworks is necessary. Experience with Microservices and Cloud technologies is essential, including Docker, ECS / EKS. Good experience with at least one cloud service provider, with AWS being preferable. General requirements for the role include the ability to handle large-scale unstructured data and a willingness to learn new frameworks to stay updated with the latest NLP developments. About Virtusa: Virtusa values teamwork, quality of life, and professional and personal development. As part of a global team of 30,000 professionals, you can expect exciting projects, opportunities to work with state-of-the-art technologies, and support for your growth throughout your career with Virtusa. At Virtusa, collaboration and a team-oriented environment are highly valued. We provide a dynamic space for great minds to nurture new ideas and strive for excellence.,