Job
Description
Roles & Responsibilities: - Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. - Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots. - Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. - Implement and optimize NLP algorithms and models to improve performance and accuracy. - Stay up-to-date with the latest advancements in NLP and AI technologies and integrate innovative approaches for sustained competitive advantage. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance - Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques - Worked with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK etc. Information retrieval libraries like Lucene, SOLR fast paced, test driven, collaborative and iterative programming environment Professional & Technical Skills: - Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning - Solid understanding of machine learning algorithms and statistical analysis. Also, good understanding of machine learning algorithms such as CRFs , SVM - Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business, Technology benefits - Experience in implementing various NLP algorithms and models. - Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly - Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it - Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization - Have worked with RNN, LSTM etc. - Work exp in creating NLP pipelines for processing large amount of document corpus - Expertise with Python
