23 Entity Recognition Jobs

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, ...

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. We are looking for Manager Level Architects with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a...

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. As an AI Automation Architect for Customer Business Process Manager, you will be responsible for working on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. This role offers a fantastic opportunity to be part of a leading firm and instrumental in...

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. We are currently seeking Senior Level Consultants with expertise in Generative AI to join our Supply Chain Technology group within the GDS consulting Team. This role offers the opportunity to work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams...

You should have knowledge of Gen AI technology ecosystem including top tier LLMs, prompt engineering, development frameworks like LLMaxindex and LangChain, LLM fine tuning, and experience in architecting RAGs and other LLM-based solutions for enterprise use cases. You must possess strong proficiency in programming languages such as Python and SQL. Additionally, you should have at least 3+ years of experience in predictive/prescriptive analytics, including Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks like Regression, classification, ensemble model, RNN, LSTM, GRU. Experience of 2+ years in NLP, Text analytics, Document AI,...

As an NLP Engineer at Tiger Analytics, you will have the opportunity to work on cutting-edge AI and analytics projects to help Fortune 1000 companies overcome their toughest challenges. You will be part of a global team of technologists and consultants dedicated to empowering businesses to achieve real outcomes and value at scale. Your role will involve collaborating with experienced team members on internal product development and client-focused projects, with a focus on the pharma domain. You will play a key role in designing, developing, and deploying GenAI solutions, with a particular emphasis on addressing challenges like hallucinations, bias, and latency. Your day-to-day responsibiliti...

As a Data Scientist Lead-GenAI at Your Partner, a strategic technology partner specializing in AI solutions, you will be responsible for developing and deploying machine learning models and NLP solutions. With 8 to 10 years of experience, you will play a key role in optimizing performance for GenAI applications and collaborating with cross-functional teams to deliver AI-driven insights. Your expertise in Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) will be essential in driving the success of our projects. Proficiency in Python and NLP libraries such as NLTK, spaCy, TextBlob, TensorFlow, PyTorch, and Hugging Face is required. Experience with pre-trained mod...

As a member of the Machine Learning team at JPMorgan Chase, you will have the opportunity to work on cutting-edge machine learning projects that optimize business decisions using the company's unique data assets. Your role will involve collecting, annotating, and enriching data for machine learning models across various lines of business within the company. You will be responsible for providing data annotation services for different data types including text, chats, emails, and audio. Understanding the business use-case will be crucial as you own the data annotation pipeline, ensuring the raw data is transformed into reliable, annotated ground truth for sophisticated machine learning methods...

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks specifically focused on clinical texts. Your responsibilities will include actively contributing to research collaborations with academic NLP research groups, participating in NLU challenge tasks, and publishing research findings. The ideal candidate should possess a Bachelor's degree or higher in computer science or engineering with a specialization in language processing. However, exceptional individuals with a Bachelor's degree in CS accompanied by relevant experience will also be considered. Additionally, you should have a minimum ...

Responsibilities: * Design generative AI solutions using LLM, Python, SQL & NLP techniques. * Collaborate with cross-functional teams on project delivery. * Implement RNN, LSTM, GRU models for text analysis.