178 Sentiment Analysis Jobs - Page 4

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skills natural language processing,lstm,machine learning,bert,gpm,deep learning,text analytics,sentiment analysis,machine learning algorithms,algorithms,information extraction,python,tensorflow,keras,artificial intelligence,Data Sc...

Role & responsibilities : Mine, process, and analyse hit/event level web, product, sales, and digital marketing data. Leverage LLMs (Large Language Models) and traditional machine learning to mine, process, and analyze web, product, sales, and digital marketing event-level data. Develop and fine-tune LLM-driven solutions for tasks such as text summarization, customer support automation, personalization, and user journey understanding. Build and deploy predictive models and ML algorithms across structured and unstructured customer profile, journey, and usage datasets. Deploy LLM and ML models into production environments for activation across websites, product applications, and sales/marketin...

Role Overview: As a Generative AI Engineer at Prismforce, you will be responsible for working on cutting-edge NLP and ML projects. By leveraging large language models (LLMs) and advanced deep learning techniques, you will play a crucial role in solving complex business challenges. Your role will involve fine-tuning LLMs, evaluating and improving RAG (Retrieval-Augmented Generation) pipelines, applying transfer learning and transformer architectures, validating model accuracy, collaborating with product teams, contributing innovative ideas, and maintaining an experimental mindset. Key Responsibilities: - Fine-tune LLMs using techniques like LoRA and QLoRA - Evaluate and improve RAG pipelines ...

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skills natural language processing,machine learning,deep learning,text analytics,sentiment analysis,machine learning algorithms,algorithms,information extraction,python,data science,tensorflow,keras,artificial intelligence,NLP mode...

Role –Gen AI Engineer (Senior / Manager) Job Location - Pan India Experience - 5.5+ Years to 12 Years Notice Period - Immediate to 60 days Mode of Interview - Scheduled In-Person only (Chennai/Coimbatore) Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy an...

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.Keywordsnatural language processing,machine learning,deep learning,machine learning algorithms,tensorflow,keras,artificial intelligence,Data Science Mandatory Key Skills natural language processing,machine learning,deep learning,machine learning ...

Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment. Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.) Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama. Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications. Proficient in designing and deploying scalable machine learning solu...

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,BERT,GPT,LSTMs,machine learning,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,lstm,machine learning,bert,gpm,deep learning,machine learning algorithms,algorithms,information extraction,python,tensorflow,keras,artificial intelligence,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key SkillsNLP,machine learning,bert,gpm,deep learning,text analytics,sentiment analysis,machine learning algorithms,information extraction,python,TensorFlow,keras,artificial intelligence,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,machine learning,deep learning,text analytics,machine learning algorithms,information extraction,tensorflow,keras,artificial intelligence,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,machine learning,deep learning,text analytics,sentiment analysis,machine learning algorithms,algorithms,information extraction,BERT,GPT,LSTM,NLP*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,machine learning,deep learning,text analytics,sentiment analysis,machine learning algorithms,algorithms,information extraction,python,data science,tensorflow,keras,artificial intelligence,NLP model...

**Role Overview:** As an AI Model Developer, you will be responsible for designing, developing, and implementing cutting-edge machine learning algorithms and models, with a focus on NLP, Generative AI, and other AI technologies. You will stay updated with the latest advancements in machine learning and artificial intelligence, conducting research to identify new techniques and approaches to enhance AI solutions. Analyzing large and complex datasets to extract meaningful insights using statistical analysis and machine learning techniques will be a key part of your role. **Key Responsibilities:** - Collaborate with cross-functional teams, including software engineers and data scientists, to ef...

As a Senior Data Scientist (Artificial Intelligence Machine Learning) at FIS, you will have the opportunity to work on challenging and relevant issues in financial services and technology. You will be part of a team that is open, collaborative, entrepreneurial, passionate, and fun. **Role Overview:** You will be responsible for employing machine learning and statistical modeling to create and enhance data-driven products. Additionally, you will analyze and extract insights from internal and external data, work with Big Data, and transform complex datasets into more usable formats. Collaboration with other groups to solve complex problems and presenting analyses to partners and clients will b...

Job Description We are looking for a Gen AI Developer with 7-13 years of hands-on experience in designing, developing, and implementing artificial intelligence and Gen AI solutions across various domains. You will collaborate with cross-functional teams to create robust and scalable Gen AI applications that meet business objectives. Bachelors degree or Masters in computer science, mathematics, or related field. Leverage LLMs and General AI for developing innovative solutions. Apply prompt engineering techniques to enhance the performance of AI applications. Utilize ChatGPT for developing conversational AI and natural language processing solutions. 5+ years of experience in statistical progra...

Your Role Gen AI Developer with 5+ years of hands-on experience in designing, developing, and implementing artificial intelligence and Gen AI solutions across various domains. You will collaborate with cross-functional teams to create robust and scalable Gen AI applications that meet business objectives. Expertise in ideating, developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence. Experience working in at least one cloud environment (AWS/Azure/GCP) and model deployment, orchestration, containerization (Kubernetes). Knowledge of the application of AI technologies for automation such as natural language processing, virtual agen...

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, ...

As a UX Writer & UX Researcher in the BFSI industry based in Pune, you will have the opportunity to contribute to enhancing user experience through your expertise in both writing and research. For the UX Writing aspect, your responsibilities will include developing strategies to enhance user comprehension and engagement. You will be tasked with creating clear microcopy for various touchpoints such as CTAs, error messages, and onboarding processes. Ensuring consistency in tone and voice across different touchpoints is crucial, as well as writing inclusive and accessible content that is compatible with screen readers. You will also utilize AI tools for tasks like sentiment analysis, persona ge...

As a First Responder AI Expert with 5-7 years of experience, your primary responsibility will be to lead the development of AI agents designed for instant, context-aware responses. This role requires expertise in AI engineering, natural language processing (NLP), and a deep understanding of business operations. You will play a crucial role in creating, deploying, and optimizing AI agents that act as a "first responder" to various queries and events within the organization. This includes automating support, knowledge access, and operational workflows to enhance efficiency and productivity. Your key responsibilities will involve end-to-end agent development, where you will design, develop, and...

About The Role Skill required: Delivery - Social Media Monitoring & Analytics Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in...

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,...

You will define and execute the AI product strategy in alignment with the objectives of our clients. Your responsibilities will include leading market research and competitive analysis to identify business opportunities, developing business cases for new AI-driven product initiatives, and translating complex AI/ML capabilities into intuitive product requirements and user stories. You will oversee testing and validation to ensure that AI features meet quality and performance standards and engage with customers and stakeholders to refine AI solutions based on feedback. Additionally, you will optimize user journeys by collaborating with marketing and sales for AI-driven engagement, drive AI per...

About The Role Skill required: Delivery - Social Media Monitoring & Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while acc...

About The Role Skill required: Delivery - Social Media Monitoring & Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while acce...