175 Sentiment Analysis Jobs

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...

As an MIS Analyst in our company, you will play a crucial role in designing, developing, and maintaining MIS reports and dashboards to monitor business performance. Your responsibilities will include: - Analyzing business data to identify trends, patterns, and improvement opportunities. - Collaborating with various teams to ensure data accuracy and timely reporting. - Monitoring and reporting key performance indicators (KPIs) such as call resolution time, average handling time (AHT), and customer satisfaction scores (CSAT). - Supporting forecasting, staffing, and capacity planning through data analysis. - Providing actionable insights to enhance process efficiencies and agent productivity. -...

As a CX Tech Solution Consultant, your role will involve collaborating with business leaders to define CX technology roadmaps aligned with strategic goals. You will design end-to-end architectures incorporating AI, ML, RPA, and cloud solutions to optimize customer engagement. It will be your responsibility to ensure that solutions are scalable, secure, and resilient, meeting industry best practices and compliance standards. You will also be required to develop business cases and recommend technology investments to enhance contact center efficiency and CX innovation. Your key responsibilities will include: - Leading CX transformation initiatives by introducing next-gen technologies such as AI...

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...

Role Overview: As a member of the data and analytics engineering team at PwC, your focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Specifically, if you are in artificial intelligence and machine learning, your work will involve developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your responsibilities will include designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. ...

Responsibilities Include: Help create and review delivery modules (e.g., vendor benchmarking, survey analysis, website scraping, slide creation, intellectual property within the orgn) Help with onboarding and training programs Drive day-to-day deliverables at the team by helping in work-planning, problem solving, hypothesis generation and research tools and review your work and that of others for quality, accuracy and relevance Proactively assist the team in various aspects of the client engagements Contribute to the development of your own and teams technical acumen and business acumen Work closely with US teams to fully support client engagements Demonstrate critical thinking and the abili...

Role Overview: As a GenAI Application Engineer (Consultant) in our company, you will be responsible for designing, developing, and deploying AI-driven solutions across various business use cases. You will work with traditional Machine Learning (ML) models and have hands-on experience in Generative AI (GenAI) applications. Key Responsibilities: - Design and implement ML models, such as regression, classification, clustering, and optimization algorithms. - Build and deploy GenAI applications using LLMs for tasks like summarization, sentiment analysis, and content generation. - Collaborate with cross-functional teams to identify opportunities for integrating AI into business processes. - Conduc...

Educational Requirements Bachelor of Engineering,BSc,BBA Service Line Data & Analytics Unit Responsibilities Natural Language Processing (NLP):a. Assist in the design and development of NLP systems for tasks such as text classification, sentiment analysis, named entity recognition (NER), and machine translation.b. Contribute to the development of language models for text summarization, question answering, and dialog systems.c. Work with large, unstructured text datasets and apply techniques such as text preprocessing, tokenization, and embedding generation. Collaborate with team members to develop AI-driven solutions that involve transformer-based models, text generation, and other cutting-e...

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...

Educational Requirements Bachelor of Engineering,BSc,BBA Service Line Data & Analytics Unit Responsibilities Natural Language Processing (NLP):a. Assist in the design and development of NLP systems for tasks such as text classification, sentiment analysis, named entity recognition (NER), and machine translation.b. Contribute to the development of language models for text summarization, question answering, and dialog systems.c. Work with large, unstructured text datasets and apply techniques such as text preprocessing, tokenization, and embedding generation. Collaborate with team members to develop AI-driven solutions that involve transformer-based models, text generation, and other cutting-e...

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...

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,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 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,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 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.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 ...

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. 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...

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.

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*

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 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*

As a Power BI Consultant at OnActuate, your role involves going beyond building dashboards to designing intelligent, intuitive data experiences that drive insights and action. Join the team in transforming data into powerful stories that matter, shaping the future of data-driven decision-making at OnActuate. This role is based in Gurugram with hybrid work options. **Key Responsibilities:** - Design and deploy interactive Power BI dashboards focusing on usability and performance. - Collaborate with stakeholders to gather requirements and translate them into actionable insights. - Apply UI/UX best practices to create clean, intuitive, and engaging data visualizations. - Integrate AI-powered vi...

As an AI/ML Engineer, you will be responsible for the following: - 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. You will be the decision-maker in Build Vs Buy scenarios. - Drive innovation in AI/ML applications across various business domains and modalities such as vision, language, and audio. - Implement Best practices in AI/ML, MLOps, DevOps, and CI/CD for AI/ML projects. - Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. Your qualifications should include: - Overall 5 to 7 years of experience, with at least 4 years in AI, ML, and Gen AI technologies. - Proven...