34 Entity Recognition Jobs

We are hiring for one of reputed government project on contract basis. Post : NLP & AI engineer No. of Post : 1 Minimum Educational Qualification- B.Tech, M.Tech, M.S., or Ph.D. degree in Computer Science. Required Experience- Minimum 4 years of experience in NLP (Natural Language Processing), Conversational AI, and Vision Applications in a Government/Semi-Government office or a private organization is essential. Preference - Deep Learning Specialization & NLP Track (Coursera, Stanford NLP) Microsoft AI-102 Designing & Implementing AI Solutions Hugging Face NLP Certification Preference will also be given to candidates with knowledge of Microsoft Office, Gemini, Co-pilot, and ChatGPT applicat...

Role Overview: As an NLP & Generative AI Annotator, you will focus on text data labeling, model evaluation, and prompt engineering to enhance the accuracy and effectiveness of NLP and Generative AI models. Your contributions will play a crucial role in advancing AI applications such as chatbots, content generation, machine translation, and summarization. Key Responsibilities: - Annotate and label text data for various NLP tasks including entity recognition, sentiment analysis, and summarization. - Evaluate AI-generated responses to ensure relevance, accuracy, and coherence. - Design and refine prompts to enhance the performance of generative AI models like LLMs, chatbots, and creative writin...

Role Overview: Miimansa is looking for a NLP scientist to join their team and be responsible for developing and prototyping novel methods for natural language understanding tasks for clinical texts. As a core contributor, you will work closely with academic NLP research groups, participate in NLU challenge tasks, and provide recommendations for the product roadmap and strategy. Key Responsibilities: - Develop and prototype novel methods for natural language understanding tasks for clinical texts - Collaborate with academic NLP research groups and participate in NLU challenge tasks and publications - Stay updated with advancements in SOTA methods relevant to the product pipeline - Provide rec...

Role Overview: As a Team Lead - Gen AI Annotator in Chennai, you will be responsible for text data labeling, model evaluation, and prompt engineering to enhance the accuracy and effectiveness of Natural Language Processing (NLP) and Generative AI models. Your contributions will be vital in improving AI applications such as chatbots, content generation, machine translation, summarization, and more. Key Responsibilities: - Annotate and label text data for various NLP tasks including entity recognition, sentiment analysis, and summarization. - Evaluate AI-generated responses for relevance, accuracy, and coherence. - Design and refine prompts to enhance the performance of generative AI models li...

Configure and manage Generators to create dynamic, personalized system responses based on user input and contextual data. Architect and manage Datastores to persist session and user data, supporting adaptive and context-driven interactions. Collaborate with backend developers, business analysts, UX designers, and QA teams to ensure seamless integration of conversational logic with APIs, databases, and business processes. Perform thorough manual testing and conversation flow optimization, verifying accuracy of intent detection, entity recognition, and backend integration for enhanced chatbot performance.

Perform thorough manual testing and conversation flow optimization, verifying accuracy of intent detection, entity recognition, and backend integration for enhanced chatbot performance. Drive best practices in conversation design, optimization, and NLP (Natural Language Processing) model tuning for improved response accuracy and user satisfaction.

Title: Senior Lead NLP/Gen AI - Data and AI Location: Chennai/Bangalore/Hyderabad Who we are: Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across...

Role Overview: At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Key Responsibilities: - Collaborate with EY Supply chain & Operations stakeholders and data engineering teams to enable high-quality data curation for model training and evaluation. - Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. - Implement solutions...

Area(s) of responsibility Job Title: Systems Architect for NLP-Based Question Answering System Updated Job Description We are looking for an experienced Systems Architect to spearhead the development of a state-of-the-art question answering system. This role is unique as it involves creating a system that leverages advanced NLP algorithms without the use of generalized AI or large language models. The successful candidate will be responsible for building a robust backend architecture, focusing on efficiency, scalability, and accuracy. Key Responsibilities System Design and Architecture NLP and Algorithm Development Data Management and Processing Technical Capabilities Proficiency in NLP tech...

Perform thorough manual testing and conversation flow optimization, verifying accuracy of intent detection, entity recognition, and backend integration for enhanced chatbot performance. Drive best practices in conversation design, optimization, and NLP (Natural Language Processing) model tuning for improved response accuracy and user satisfaction. Contribute to and oversee the migration of conversational platforms (e.g., Khoros to DFCX) ensuring smooth transitions, system integrity, and feature parity. Lead and mentor team members in Dialogflow CX design patterns, integration strategies, and GCP tool utilization.

Role Overview: As an NLP Engineer at Tiger Analytics, you will play a crucial role in developing and deploying NLP & Generative AI solutions, with a focus on Large Language Models (LLMs) and fine-tuning techniques. Your typical day will involve collaborating with experienced team members, supporting internal product development, and contributing to client-focused projects, particularly in the pharma domain. You will have the opportunity to work on GenAI applications, address challenges like bias and latency, and participate in the full lifecycle of AI project delivery under the guidance of senior team members. Additionally, you will be part of a collaborative environment, sharing ideas and w...

Role: Team Lead - Gen AI Annotator Location: Chennai Work Type: On-Site Experience: 3-6 Years About Role: As an NLP & Generative AI Annotator, you will work on text data labeling, model evaluation, and prompt engineering to enhance the accuracy and effectiveness of Natural Language Processing (NLP) and Generative AI models. Your work will contribute to improving AI applications in chatbots, content generation, machine translation, summarization, and more. Responsibilities: Annotate and label text data for various NLP tasks (entity recognition, sentiment analysis, summarization, etc.). Evaluate AI-generated responses for relevance, accuracy, and coherence. Design and refine prompts to improve...

As a Senior Data Scientist in the Data & Analytics department, your expertise in machine learning and statistics will be utilized to derive valuable insights from data. Your responsibilities will include developing predictive models, interpreting data, and collaborating closely with ML engineers to ensure the effective deployment and functioning of these models. Key Responsibilities: - Lead cross-functional teams in designing, developing, and deploying Generative AI solutions, focusing on Large Language Models (LLMs). - Architect, train, and fine-tune state-of-the-art LLMs (e.g., GPT, BERT, T5) for various business applications, aligning with project goals. - Deploy and scale LLM-based solut...

As an AI/ML Engineer Intern at Senda, you will be responsible for the following: - Designing, developing, and optimizing Retrieval-Augmented Generation (RAG) models. - Implementing vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts. - Fine-tuning and optimizing large language models to enhance performance and accuracy. - Applying NLP, NLU, and NLG techniques such as sentiment analysis, entity recognition, and text generation to improve conversational AI capabilities. You should have the following qualifications: - Educational Background: Pursuing or recently completed a degree in Computer Science, Data Science,...

As a Generative AI Solutions Architect/Engineer, your role will involve leveraging your expertise in Gen AI technology ecosystem to architect RAGs and other LLM-based solutions for enterprise use cases. Your key responsibilities will include: - Demonstrating strong proficiency in programming languages like Python and SQL - Applying your 3+ years of experience in predictive/prescriptive analytics, including Machine Learning algorithms and deep learning algorithms - Utilizing your 2+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, and entity recognition - Leveraging LangChain and Open LLM frameworks for tasks such as summarization, classification, and Name ent...

Role Overview: As an experienced Enterprise Content Management (ECM) Systems professional, your role will involve managing and maintaining content and documents across various systems such as SharePoint, Documentum, OpenText, internal repositories, and Adobe Experience Manager (AEM). You will be responsible for ensuring accuracy, consistency, and compliance in content and document lifecycle management. Key Responsibilities: - Developing and enforcing content classification schemas, metadata standards, and tagging conventions. - Overseeing document version control, access permissions, retention policies, and archival processes. - Ensuring compliance with internal policies, industry regulation...

Job Description: AI Engineer Experience- 2-4 Yrs Location: Bangalore (WFH) Employment Type: Full-time About the Role We are seeking a skilled Data Scientist/AI Engineer with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). The ideal candidate will also have hands-on exposure to Generative AI (GenAI) and the ability to design, implement, and optimize advanced AI-driven solutions for real-world business problems. Key Responsibilities Design, develop, and deploy end-to-end machine learning and AI models for diverse business use cases. Apply advanced deep learning architectures (CNNs, RNNs, Transformers, etc.) for solv...

Role Overview: You will be responsible for developing and deploying NLP solutions using transformers, text mining techniques, and modern language models. Your main tasks will involve building production-ready systems for text analysis and understanding. Key Responsibilities: - Design and implement NLP pipelines for text classification, entity recognition, and information extraction - Build transformer-based models for various NLP tasks and applications - Develop text mining solutions to extract insights from large-scale unstructured data - Implement and customize spaCy pipelines for domain-specific NLP requirements - Integrate and fine-tune LLMs for text processing and understanding tasks - ...

In this role at EY, you will have the opportunity to contribute to the Supply Chain Technology group of the GDS consulting Team as a Staff Level Consultant with expertise in Generative AI. Your responsibilities will involve designing, developing, and fine-tuning Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Additionally, you will implement solutions for data pre-processing, tokenization, and dataset augmentation, and deploy Generative AI models on cloud platforms or edge devices to ensure scalability and robustness. You will work on MLOps pipelines, conduct performance benchmarking, hyperparameter tuning, and stay updated on the latest trends in ...

As an NLP & Generative AI Annotator, you will play a crucial role in enhancing the accuracy and effectiveness of Natural Language Processing (NLP) and Generative AI models by performing text data labeling, model evaluation, and prompt engineering. Your contributions will directly impact the improvement of various AI applications like chatbots, content generation, machine translation, and summarization. Key Responsibilities: - Annotate and label text data for NLP tasks such as entity recognition, sentiment analysis, and summarization. - Evaluate AI-generated responses for relevance, accuracy, and coherence. - Design and optimize prompts to boost the performance of generative AI models includi...

As a Team Lead - Gen AI Annotator based in Chennai, your role involves working on text data labeling, model evaluation, and prompt engineering to enhance the accuracy and effectiveness of Natural Language Processing (NLP) and Generative AI models. Your contribution will play a vital role in improving AI applications such as chatbots, content generation, machine translation, summarization, and more. **Key Responsibilities:** - Annotate and label text data for various NLP tasks including entity recognition, sentiment analysis, and summarization. - Evaluate AI-generated responses for relevance, accuracy, and coherence. - Design and refine prompts to enhance the performance of generative AI mode...

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks related to clinical texts. Your responsibilities will include being a key contributor to Miimansa's research collaborations with academic NLP research groups, engaging in NLU challenge tasks, and contributing to publications. You will stay updated on state-of-the-art methods relevant to Miimansa's product pipeline and offer recommendations for the product roadmap and strategy. Key Responsibilities: - Develop and prototype novel methods for natural language understanding tasks in clinical texts - Collaborate with academic NLP research g...

As a Team Lead - Gen AI Annotator at our company located in Chennai, you will play a crucial role in enhancing the accuracy and effectiveness of Natural Language Processing (NLP) and Generative AI models. Your primary responsibilities will involve text data labeling, model evaluation, and prompt engineering to contribute towards improving AI applications such as chatbots, content generation, machine translation, and summarization. **Key Responsibilities:** - Annotate and label text data for various NLP tasks including entity recognition, sentiment analysis, and summarization. - Evaluate AI-generated responses for relevance, accuracy, and coherence. - Design and refine prompts to enhance the ...

Role: Senior Gen AI Annotator Location: Chennai, Coimbatore, Karur Work Type: On-Site Experience: 3-5 Years (Walk-In from 11/09/2025 - 12/09/2025) (Timing-10:00AM-5:00PM) About Role: As an NLP & Generative AI Annotator, you will work on text data labeling, model evaluation, and prompt engineering to enhance the accuracy and effectiveness of Natural Language Processing (NLP) and Generative AI models. Your work will contribute to improving AI applications in chatbots, content generation, machine translation, summarization, and more. Responsibilities: Annotate and label text data for various NLP tasks (entity recognition, sentiment analysis, summarization, etc.). Evaluate AI-generated responses...

You will be working as an NLP & Generative AI Annotator, focusing on text data labeling, model evaluation, and prompt engineering to enhance the accuracy and effectiveness of Natural Language Processing (NLP) and Generative AI models. Your contributions will play a crucial role in improving AI applications such as chatbots, content generation, machine translation, summarization, and more. **Responsibilities:** - Annotate and label text data for various NLP tasks (entity recognition, sentiment analysis, summarization, etc.). - Evaluate AI-generated responses for relevance, accuracy, and coherence. - Design and refine prompts to enhance the performance of generative AI models (LLMs, chatbots, ...