1 to 25 of 78 Permanent Sentiment Analysis Jobs

High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch ...

ROLE Customer Science Develop and implement predictive models to understand drivers of customer behaviour, including purchase patterns, customer lifetime events and sentiment analysis Create sophisticated customer segmentation using behavioural, transactional, and demographic data Design and build predictive models to enhance personalized customer experiences across all channels Collaborate ...

influence future innovations, and ensure a unified go-to-market strategy. Measure & optimise impact: Use Zendesk analytics and AI performance metrics (sentiment analysis, ticket deflection, time-to-resolution) to demonstrate ROI and inform continuous improvement. Champion AI adoption: Collaborate with Customer Success to drive AI adoption through ...

influence future innovations, and ensure a unified go-to-market strategy. Measure & optimise impact: Use Zendesk analytics and AI performance metrics (sentiment analysis, ticket deflection, time-to-resolution) to demonstrate ROI and inform continuous improvement. Champion AI adoption: Collaborate with Customer Success to drive AI adoption through ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...

optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching … image processing, feature extraction, and text preprocessing techniques. Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with ...