246 Text Analytics Jobs - Page 5

Job Description: We are seeking an experienced Lead Generative AI Engineer to drive innovation and business impact through cutting-edge AI solutions. This role involves leading the design and implementation of generative AI models, collaborating with cross-functional teams, and deploying AI-driven solutions that enhance product offerings. The ideal candidate will have deep expertise in NLP, text analytics, sentiment analysis, transformer models, LLMs, vector databases, and generative AI technologies. Key Responsibilities: Lead the design and implementation of generative AI solutions, leveraging NLP, text analytics, and transformer models. Develop and execute Gen-AI roadmaps , ensuring succes...

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 EY is counting on your unique voice and perspective to help them become even better. Join EY to build an exceptional experience for yourself and contribute to creating a better working world for all. Key Responsibilities: - Develop, review, and implement solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. - Lead the development and implementation of Generative AI applications using open source (Llama, BERT, Dolly, etc.) and closed source (Open AI GPT models, MS Azure Cog...

Azure Services Strong knowledge in Azure Web Services, Azure SQL Computer Vision Image analysis, OCR, and facial recognition using Azure APIs. Text Analytics Sentiment analysis, key phrase extraction, and language detection. Speech Services Speech-to-text, text-to-speech, and speaker recognition. Language Understanding (LUIS) Building and training language models. Azure Bot Services Integrating bots with cognitive capabilities. Azure AI Studio / OpenAI on Azure Working with generative AI models. Security & Compliance Managing keys, endpoints, and access control. Core Python Data structures, OOP, exception handling. API Integration Consuming REST APIs (e.g., Azure SDKs). Data Processing Using...

Role Overview: As an Associate Manager AI/Gen AI at EY, you will be part of the Data and Analytics team, a multi-disciplinary technology team focused on delivering client projects and solutions across various areas such as Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. Your role will involve developing and delivering industry-specific solutions using Artificial Intelligence, Machine Learning, and deep learning models for Generative AI, text analytics, and Python Programming. You will play a key role in implementing EY SaT mergers and acquisition methodologies in sectors such as Financial services, Consumer, product & Retail, Healt...

As an AI/ML Scientist at our company, your role will involve collaborating with business, platform, and technology stakeholders to understand project scopes. You will be responsible for performing comprehensive exploratory data analysis to derive inferences for further solutioning, experimentation, and evaluation. Additionally, you will design, develop, and deploy robust enterprise AI solutions using Generative AI, NLP, machine learning, and other technologies. Your focus should always be on providing business value while ensuring technical sustainability. It will be part of your responsibility to promote and drive the adoption of cutting-edge data science and AI practices within the team. S...

Gen AI AIML Designing, documenting, and implementing Azure OpenAI, Azure AI Services, Azure Document Intelligence, Machine Learning Services, Traslator Speech, Text Analytics, Computer Vision, Custom vision, Bot Services for customer environments, including consolidation and migrations Experience with Azure OpenAI Permissions and Design Principles, Azure AI Services implementation, RBAC, real-time implementation of Machine Learning models for various use-case scenarios, etc IOT Designing, documenting, and implementing Azure IoT for customer environments, including consolidation and migrations Experience with Azure IoT Permissions and Design Principles, RBAC, Azure Sphere, Time Series Insight...

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI sol...

KPMG India is looking for Manager - Data Science to join our dynamic team and embark on a rewarding career journey Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a...

Senior AI/ML Engineer Key Responsibilities: Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value. Lead and execute end-to-end AI/ML projects from data exploration and model development to validation, deployment, and monitoring in production. Drive solution architecture using techniques in data engineering, programming, machine learning, NLP, and Generative AI. Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking. Guide junior and associate AI/ML engineers thro...

Job Responsibilities. Hands on (Full Stack) SaaS application design and development concentrating on Artificial intelligence using big data technologies.. Facilitate solution efficiencies, scalability and technology stack leadership.. Ensure fool proof and robust applications through unit tests and other quality control measures. Follow an agile development process, and enable rapid solutions to business challenges.. Take inputs from internal and external clients and constantly strive to improve solutions.. Setup and following software design, development, testing and documentation best practices.. Extract and parse data from online and local data sources; Clean up data, audit data for accur...

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. The Data and Analytics team at EY is a multi-disciplinary technology team that delivers client projects and solutions across various domains such as Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The team works on assignments covering a wide range of countries and industry sectors...

We are a forward-thinking company leveraging AI and automation to transform business processes. We are looking for an AI Generalist Intern with hands-on n8n experience to join our team. This role is ideal for someone who loves exploring AI tools, building automations, and creating practical solutions that add real value. Key Responsibilities: Design, build, and maintain workflow automations in n8n for various business use cases. Integrate APIs, databases, and third-party tools within n8n workflows. Apply AI tools (LLMs, ChatGPT, Claude, etc.) to enhance workflows and solve business problems. Support in developing AI-driven prototypes (chatbots, automation scripts, integrations). Troubleshoot...

Job DescriptionKey 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.Keywordsmachine learning,artificial intelligence,mentoring,python,deep learning,natural language processing,Data Science*

Job DescriptionKey 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,lstm,machine learning,bert,gpm,deep learning,machine learning algorithms,algorithms,information extraction,python,tensorflow,keras,artificial intelligence,Data Science*

Job Description 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,BERT,GPT,LSTMs,machine learning,Data Science*

About The Role TBD Qualification TBD

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,machine learning algorithms,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 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...

**Job Title:** Data Scientist - Data **Company Name:** Happiest Minds **Location:** [Insert Location] **Job Type:** Full-time **Experience Range:** 5 to 10 years ### Job Description: Happiest Minds is seeking a skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will have a strong background in statistical analysis, machine learning, and data-driven decision-making. You will be responsible for developing advanced analytical models and leveraging data to uncover insights that drive business value and innovation. ### Key Responsibilities: - Develop and implement machine learning models and deep learning algorithms to solve complex business problems and drive deci...

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...

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 ...

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI sol...

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*