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Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computed-assisted translation (CAT) solutions. Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computed-assisted translation (CAT) solutions.
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3-5+ years of experience in NLP and the ability to process and analyze large amounts of natural language data. Proficiency in programming languages such as Python, SQL, and experience with ML frameworks like TensorFlow and PyTorch.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Transforming natural language data into useful features using NLP/NLG/LLM techniques to feed classification algorithms. Programming Skills - knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable.
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Understanding of Semi-Structured and UnStructured data and NLP packages. 100% Remote Data Scientist. Experience with DevSecOps procedures and major Cloud environments. Understanding of Semi-Structured and UnStructured data and NLP packages.
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Play a part in the next revolution in human-computer interaction.
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We have a strong preference for building our own technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas. Dive into dynamic in-office energy 2 days a week, sparking creativity and forging bonds with your awesome team.
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You also have opportunities to research and develop applications in applied artificial intelligence using computer vision, natural language processing (NLP) and large language models (LLM). Having experience with computer vision, natural language processing (NLP) or large language model (LLM) is a plus.
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2+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/B testing) and nonparametric Bayesian modeling etc.
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This is a relatively new team working with Natural Language Processing (NLP) and other techniques to improve the user experience. Your work will require you to read up on recent advancements in LLMs and NLP which will help Klaviyo build up expertise in this space.
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An intuitive grasp for product-level thinking and how AI and NLP can be used to create entirely new product experiences. Researching and leveraging cutting-edge progress in NLP and ML in academia and industry by staying abreast with new publications, conferences, and product applications.
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Experience developing/training and maintaining models in multiple genres of Advanced Analytics: machine learning, deep learning, optimization/prescriptive modeling, NLP/text analytics, cognitive/generative AI.
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Data Scientist with LLM (GPT), NLP, Python/Data Science. Data Scientist with LLM (GPT), NLP, Python/Data Science. Implement analytical models in production by collaborating with software developers and machine-learning engineers.
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Knowledge of NLP and Chatbot technology use cases or projects. Knowledge of NLP and Chatbot technology use cases or projects. Familiarity with Generative AI technologies like Watsonx, Sagemaker, Bedrock, Vertex AI, ChatGPT, PaLM, CoPilot.
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This may include impact assessment of business decisions via normalization techniques, optimization of business processes through robust A/B testing, clustering, or segmentation analyses to identify population differences, performing analyses to understand drivers of key business trends, and identification of population sentiment through natural language processing (NLP) on verbatims of survey responses.
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