217 Sentiment Analysis Jobs

We are looking for a Data Scientist skilled in Machine Learning , Google Cloud , Sales Forecasting , and Sentiment Analysis to build predictive models and deliver actionable insights for business growth. Responsibilities Develop and deploy ML models on Google Cloud (Vertex AI, BigQuery ML) . Build sales forecasting models using time-series and ML techniques. Perform sentiment analysis using NLP and transformer-based models. Analyze large datasets and generate insights for sales, marketing, and product teams. Create automated ETL workflows and dashboards. Requirements Strong skills in Python , SQL, and ML libraries (Scikit-Learn, TensorFlow/PyTorch). Hands-on experience with GCP services . Ex...

Key Responsibilities 1. Data Collection & Preprocessing Gather structured and unstructured data from various sources (CRM, ERP, GCP BigQuery, APIs). Clean, transform, and normalize data for modeling. Ensure data quality and integrity for accurate forecasting. 2. Machine Learning Model Development Design and implement ML algorithms for predictive analytics (e.g., regression, time-series forecasting, ensemble methods). Build and optimize models for sales forecasting , demand prediction, and customer segmentation. Perform feature engineering to improve model accuracy. 3. Cloud Integration (GCP) Deploy ML models on Google Cloud AI Platform or Vertex AI. Utilize GCP services like BigQuery , Cloud...

Mandatory Skills: CrewAI / Agentic AI Generative AI (LLMs RAG Fine-tuning), LangChain, Microservices, Natural Language Processing (NLP), Open Source LLM, Pandas, Python, Topic Modeling / Clustering, Vector Databases (e.g. Pinecone), AI Voice Agent Roles and Responsibilities: Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent ...

As a Senior Machine Learning Engineer at our AI team, your role will involve designing, developing, and deploying machine learning and deep learning models. You will conduct advanced data preprocessing, feature engineering, and model evaluation. Additionally, you will implement optimization techniques for algorithm performance and scalability, utilizing Python frameworks such as Scikit-learn, TensorFlow, PyTorch, and Keras for model development. Building interactive dashboards using Streamlit, Plotly, and other visualization tools will also be part of your responsibilities. Collaboration with cross-functional teams including data engineering, product, and software development is essential. R...

Role Overview: As a Team Lead - Gen AI Annotator in Chennai, you will be responsible for 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 be vital 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 models li...

Role Overview: Dream big with AB InBev GCC, where we are constantly looking forward and dreaming bigger. As a Senior Data Scientist, you will play a key role in understanding and solving complex business problems using analytical prowess to provide impactful insights for decision-making. Your contributions will be vital in transforming operations through technology and analytics. Key Responsibilities: - Understand business problems and collaborate with stakeholders to translate them into data-driven analytical/statistical problems. - Create appropriate datasets and develop statistical data models to derive insights. - Translate complex statistical analyses into actionable steps and present f...

As a Contact Center Solution / Technology Architect with hands-on experience, your role will involve assessing the current contact center architecture and designing a migration roadmap to a CCaaS platform. You will be responsible for recommending solution architecture for platform modernization and identifying opportunities to enhance customer experience using AI technologies such as intent detection, virtual assistants, predictive routing, and sentiment analysis. Key Responsibilities: - Proficiency in contact center technologies including on-premises and CCaaS - Deep knowledge of call flows, IVR, skill-based routing, omnichannel servicing, and customer journey orchestration - Knowledge of R...

As an AI Engineer specializing in Speech-to-text and Text Generation, you will be responsible for solving a Conversational AI challenge for a client based in EMEA. Your expertise in Speech-to-Text, Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems will be crucial in transcribing conversations and leveraging generative AI-powered text analytics to enhance engagement strategies and decision-making. Your role will involve working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. **Key Responsibilities:** - Develop and fine-tune automatic speech recognition (ASR) models - Implement language mod...

You will be responsible for designing, developing, and maintaining scalable microservices for Joyful's Engage and Listen platforms. Additionally, you will build serverless applications and functions for rapid and cost-effective deployments using AWS Lambda, Azure Functions, or GCP Cloud Functions. Your role will involve implementing robust APIs and data pipelines optimized for performance and reliability, ensuring security, compliance, and data privacy in all backend services. - Design, develop, and maintain scalable microservices for Joyful's Engage and Listen platforms - Build serverless applications and functions for rapid, cost-effective deployments - Implement robust APIs and data pipel...

As a highly skilled and experienced Data Scientist specializing 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 be well-versed in deep learning, machine learning, and capable of building, deploying, and optimizing models that solve real-world problems using both text and image data. Key Responsibilities: - Develop and deploy NLP solutions for business needs, including text classification, sentiment analysis, and text generation. - L...

As the Asst Vice President or Vice President of Consumer Research and Analytics at FeeBac, you will play a pivotal role in shaping the capture, analysis, and presentation of consumer sentiment to drive product development, platform engagement, and brand partnerships. Your responsibilities will include: - Building and leading FeeBac's research and analytics business strategy by utilizing user behavior data, survey responses, and app usage insights. - Designing and overseeing quantitative and qualitative surveys to gather consumer opinions on various topics, brand feedback, and societal themes. - Translating complex data into actionable insights and compelling storytelling for internal stakeho...

Role Overview: As a Contact Centre Data and AI Architect, your primary responsibility will be to utilize your in-depth knowledge of Genesys and Five9 data ecosystem for supporting the migration of contact centers to CCaaS. You will play a crucial role in developing data solutions around this migration by defining a data strategy to migrate historical and real-time data to the cloud with minimal disruption to downstream systems. Collaboration with data architects will be essential to ensure reporting continuity and regulatory compliance. Your expertise will be pivotal in identifying opportunities to enhance customer experience through AI technologies such as intent detection, virtual assistan...

As an AI Engineer specializing in Speech-to-Text and Text Generation, your role will involve tackling a Conversational AI challenge for a client in EMEA. The project's goal is to transcribe conversations and leverage generative AI-powered text analytics to enhance engagement strategies and decision-making processes. Your responsibilities will include: - 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 Key technical skill...

**Job Description:** At Amgen, you will be part of a mission to serve patients living with serious illnesses, pioneering the world of biotech since 1980. As a member of the Amgen team, you will have the opportunity to make a lasting impact on patients" lives by researching, manufacturing, and delivering innovative medicines across various therapeutic areas. The collaborative, innovative, and science-based culture at Amgen provides a platform for you to thrive and transform both patient lives and your career. **Roles & Responsibilities:** - Lead the delivery of overall product and features, managing the product team to ensure business, quality, and functional goals are met with each release. ...

You are an experienced and passionate AI/ML Engineer with expertise in Image Processing, Deep Learning, and NLP. Your role will involve designing, developing, and deploying cutting-edge AI solutions using technologies like YOLO, OpenAI APIs, CNN architectures, and natural language processing techniques. - Design and develop AI models for image recognition, object detection, and text understanding. - Work with the latest YOLO versions (v6, v7, v8) for real-time object detection and tracking. - Build and fine-tune CNNs and other deep learning architectures for computer vision tasks. - Integrate OpenAI APIs (ChatGPT, Whisper, DALLE, etc.) for NLP, generative AI, and automation workflows. - Proc...

As a senior data scientist at UBS, you will play a pivotal 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 various stakeholders to translate reporting requirements into actionable tasks and implement 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 opportu...

About the role: This is a unique opportunity to join our fast-growing Data Science team. In the role of Data Scientist in Client Retention Analytics team, you will execute large scale, high impact data modeling projects with responsibility for designing, developing, validating, socializing, operationalizing, and maintaining data-driven analytics that provide business insights to increase operational efficiency and customer value. This person will have a flair of innovation along with a strong exposure to NLP, Classical ML, Python, statistical principles and their application in building model. What You Will Do: Deliver ad hoc modeling and advanced analytical insights to drive strategic and o...

As a senior analyst, your primary responsibility will be to provide technical expertise to the team. You are expected to be an expert in all phases of model development, including EDA, Hypothesis, Feature creation, Dimension reduction, Data set clean-up, Training models, Model selection, Validation, and Deployment. Additionally, you will participate in and lead discussions during the solution design phase. It is essential for you to have a deep understanding of statistical & machine learning methods such as logistic regression, SVM, decision tree, random forest, neural network, Regression (linear regression, decision tree, random forest, neural network), Classical optimization (gradient desc...

Role Overview: As a Generative AI Engineer at our company, you will be a key member of our dynamic team, responsible for designing, building, and deploying cutting-edge generative models and applications. You will work on various tasks ranging from large language model (LLM) training and fine-tuning to developing sophisticated Natural Language Processing (NLP) solutions. If you are passionate about pushing the boundaries of artificial intelligence, we are excited to welcome you to our team. Key Responsibilities: - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques - Train, fine-tune, and evaluate large language models for specific use...

EPAM Anywhere is looking for Senior Software Engineer – (Python with LLM/GenAI) to join our dynamic team and embark on a rewarding career journey We are looking for a skilled Senior Software Engineer with expertise in Python and LLM/GenAI to join our team. The ideal candidate will have a strong background in software development and experience working with large language models. Roles and Responsibility Design, develop, and deploy scalable software applications using Python. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain large-scale data pipelines and architectures. Work on natural language processing tasks such as text classific...

EPAM Anywhere is looking for Senior Software Engineer – (Python with LLM/GenAI) to join our dynamic team and embark on a rewarding career journey We are looking for a skilled Senior Software Engineer with expertise in Python and LLM/GenAI to join our team. The ideal candidate will have a strong background in software development and experience working with large language models. Roles and Responsibility Design, develop, and deploy scalable software applications using Python. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain large-scale data pipelines and architectures. Work on natural language processing tasks such as text classific...

Role Overview: You will have the opportunity to learn and contribute to the development of cutting-edge AI solutions focusing on Generative AI and Natural Language Processing (NLP). As part of the team, you will work with state-of-the-art technologies such as transformers, text generation, and sentiment analysis. This role offers a great chance to grow alongside experts, tackle real-world challenges, and advance 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...

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 creating AI-enabled solutions by using the concepts of AIML, GenAI, LLMs, Sentiment analysis, etc. This role involves creating correlations between different data points and performing predictive and preventive analysis. **Key Responsibilities:** - Employ machine learning and statistical modeling to create and enhance data-driven products - Analyze and extract insight...

As a Data Science Consultant at Dell, you will be at the forefront of groundbreaking initiatives to help businesses answer their most pressing questions. Collaborating with leading academics, industry experts, and skilled engineers, you will develop innovative approaches to extract insights from petabyte-scale data sets. **Key Responsibilities:** - Collect and analyze linguistic data, implementing core NLP techniques like tokenization, NER, and sentiment analysis for MT/NLG pipelines. - Design reproducible experiments, establish annotation protocols, and evaluate models using metrics like BLEU, COMET, and ROUGE. - Build and enrich knowledge graphs, design ontologies and schemas, and optimize...

Role Overview: As an Artificial Intelligence Consultant at Capgemini Invent, you will be responsible for implementing AI-based solutions within the Intelligent Industry vertical. Your role will involve designing and developing ML/NLP models, collaborating with key stakeholders, and executing data science projects independently to deliver business outcomes. You will also be involved in ML asset creation and providing training to fellow data science professionals. Key Responsibilities: - Implement Artificial Intelligence solutions across various disciplines - Design and develop ML/NLP models - Work closely with the Product Owner, Systems Architect, and other stakeholders - Execute data science...