178 Sentiment Analysis Jobs - Page 3

Job Summary- Data Scientist with good hands-on experience of 6+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform – AWS, Azure or GCP Understanding of Commer...

Job Summary- Data Scientist with good hands-on experience of 3-4 years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform – AWS, Azure or GCP Understanding of Comme...

Job Responsibilities- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform – AWS, Azure or GCP Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timeline...

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 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 more than 120 countries. Visit us at www.accenture.com What would you do Were Accenture Marketing Operations. Were the glob...

Market Intelligence Lead at NxtWave is a pivotal role responsible for keeping a pulse of the market by staying in touch with customer feedback, analyzing competitor products, identifying new market opportunities etc. This role will ensure that we stay ahead of the curve by continuously monitoring the pulse of the market and our products reception. You will play a key role in shaping our product strategy by delivering actionable insights that drive growth and innovation. Key Responsibilities Customer Sentiment Analysis: Lead the collection and analysis of customer sentiment on our platform, identifying strengths, pain points, and opportunities for improvement. Competitor Analysis: Conduct tho...

As a Senior Machine Learning Engineer at our company, you will be an integral part of the AI team, leveraging your 4+ years of experience in building and deploying production-grade ML models. Your role involves designing, developing, and deploying machine learning and deep learning models, conducting advanced data preprocessing, and implementing optimization techniques for algorithm performance and scalability. You will work with Python frameworks such as Scikit-learn, TensorFlow, PyTorch, and Keras, and build interactive dashboards using Streamlit, Plotly, and other visualization tools. Collaboration with cross-functional teams, research, and implementation of state-of-the-art ML/AI algorit...

As the Assistant Vice President or Vice President of Consumer Research and Analytics at FeeBac, you will play a crucial role in shaping the platform's success by capturing, analyzing, and presenting consumer sentiment to drive product development, platform engagement, and brand partnerships. Your analytical rigor, storytelling abilities, curiosity, and focus on business impact will be essential in this dynamic position. Key Responsibilities: - Build and lead FeeBac's research and analytics business strategy by utilizing user behavior data, survey responses, and app usage insights. - Design and oversee both quantitative and qualitative surveys to gather consumer opinions on various topics suc...

As a highly skilled and experienced Data Scientist with a strong specialization in Natural Language Processing (NLP) and OpenCV, your role will involve developing and deploying NLP solutions for business needs, leveraging OpenCV for computer vision tasks, building and optimizing machine learning models, and collaborating with cross-functional teams to design and deploy solutions. You must have proven experience in text analysis using frameworks like spaCy, NLTK, GPT, and BERT, deep knowledge of OpenCV for image data processing, and solid experience in Python and its libraries. Additionally, you should have strong experience in machine learning algorithms, deep learning techniques, deploying ...

Minimum 5 years of experience in machine learning engineering and AI development Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text gener...

We are looking for a skilled professional with 6-15 years of experience to join our team in the Employment Firms/Recruitment Services Firms industry. The ideal candidate will have a strong background in contact center operations and Genesys BA. Roles and Responsibility Manage data migration, storage, and management, including real-time and historical data. Analyze contact center reporting and BI to optimize processes and improve performance. Implement WFM process, forecasting, scheduling, routing, and queue optimization. Develop and maintain knowledge management systems (KMS) for agent assist and sentiment analysis. Collaborate with teams to implement AI/Gen AI enabled agent assist and routi...

Minimum 5 years of experience in machine learning engineering and AI development Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience indeveloping and deploying generative AI applications (text genera...

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 Overview: Joyful, a leading AI-powered stakeholder communication management platform, is seeking a Senior Software Engineer to join their team. As a Senior Software Engineer at Joyful, you will be responsible for designing, developing, and maintaining scalable microservices for the Engage and Listen platforms. You will also work on integrating AI/ML models to enhance automation, personalization, and analytics. Additionally, you will contribute to Joyful's Vibe Coding culture by writing clean, collaborative code and mentoring junior engineers. Key Responsibilities: - Design, develop, and maintain scalable microservices for Joyful's Engage and Listen platforms - Build serverless applicati...

Role Overview: As a part of our team, you will have the exciting opportunity to work with cutting-edge AI technologies, specifically focusing on Generative AI and Natural Language Processing (NLP). You will be involved in developing AI solutions, collaborating with experts, and contributing to the advancement of the field of AI. Key Responsibilities: - Assist in designing and developing NLP systems for tasks like text classification, sentiment analysis, named entity recognition (NER), and machine translation. - Contribute to the development of language models for text summarization, question answering, and dialog systems. - Work with large unstructured text datasets, implementing techniques ...

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph,ADK , Autogen etc. Hands-on experience indeveloping and deploying generative AI applications (text gener...

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience indeveloping and deploying generative AI applications (text gene...

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience indeveloping and deploying generative AI applications (text gener...

Role Overview: As a Public Relations and Media Executive at MediagraphicsPR in Delhi, your primary responsibility will be implementing client communications, developing integrated media strategies, and leading client servicing activities. This will involve pitching stories to journalists, maintaining media relationships, and securing coverage across various publications. Additionally, you will be drafting press releases, articles, and media kits aligned with brand voice and objectives. Key Responsibilities: - Pitch stories to journalists and maintain media relationships - Secure coverage across various publications - Draft press releases, articles, and media kits - Monitor media coverage, in...

Role Overview: You will be working as an AI Engineer with expertise in Speech-to-text and Text Generation to tackle a Conversational AI challenge for a client in EMEA. The project aims to transcribe conversations and utilize generative AI-powered text analytics for enhancing engagement strategies and decision-making processes. Key Responsibilities: - Developing Conversational AI & Call Transcription solutions - Creating NLP & Generative AI Applications - Performing Sentiment Analysis & Decision Support tasks - Handling AI Deployment & Scalability aspects - Working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools Qualifications Require...

Role Overview: As a Contact Centre Data and AI Architect, your primary responsibility will be to leverage your deep knowledge of Genesys and Five9 data ecosystem. Your expertise will be crucial in supporting the migration of contact centers to CCaaS and developing data solutions around this migration. You will play a key role in defining a data strategy to migrate historical and real-time data to the cloud while ensuring minimal disruption to downstream systems. Collaboration with data architects will be essential to ensure reporting continuity and regulatory compliance. Your role will also involve evaluating and recommending data architectures that minimize the impact on downstream systems ...

As a senior data scientist at UBS, you will play a crucial role in driving digital transformation by working on data science projects within the newly established Data and Analytics Team in Group Legal. Your responsibilities will include: - Collaborating with stakeholders to translate reporting requirements into actionable tasks and implementing product enhancements. - Designing, building, and deploying high-performance AI/ML/NLP models to meet business objectives. - Monitoring and optimizing model performance to ensure quality, stability, and scalability. - Cleaning, manipulating, and processing raw data into useful information suitable for business purposes. - Validating AI/ML opportunitie...

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*

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.