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Querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling and intelligence, predictive modeling, and machine learning.
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The senior research specialist will be responsible for managing large-scale textual, survey, and experimental datasets and data analysis (including but not limited to the use of quantitative text analysis and/or natural language processing.
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Transforming natural language data into useful features using NLP/NLG/LLM techniques to feed classification algorithms. Deep knowledge of data processing technologies including Spark, Airflow, Kafka, relational and NoSQL databases.
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Experience implementing Machine Learning, Artificial Intelligence, or Natural Language Processing. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
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5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.
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Our Natural Language Processing offerings guide a variety of commercial enterprise applications, from records acquisition and processing to analytics, entity extraction, analytics extraction, and query answering structures.
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Support the assessment of production suitability of Open Source and proprietary solutions for Generative AI (GenAI) Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL.
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Natural language processing, text mining and foundation models (LLM) Our research is both experimental and theoretical, covering many domains in data science and systems research, such as: time series mining, natural language processing, graph mining, log mining, anomaly detection, and streaming processing.
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Solid understanding of neural networks and proficiency in Natural Language Processing. Experience with frameworks relevant to working with large language models, such as LangChain and other related tools (e.g., TensorFlow, PyTorch, Hugging Face Transformers.
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A doctoral degree in Educational Measurement, Educational Psychology, Statistics, Artificial Intelligence, Natural Language Processing (NLP) or a closely related field is required.
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3+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines.
$150,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Familiarity with modern computer vision, computational linguistic and/or transformer-based natural language processing (NLP), Natural Language Generation (NLG), Large Language Models (LLM) frameworks.
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Natural Language Processing (NLP): To understand the context and sentiment behind content engagement and social media interactions. NLP libraries such as NLTK or SpaCy for processing text data.
$50,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Technical Acumen: Ability to comprehend AI technologies, NLP (Natural Language Processing), machine learning concepts, and their applications within enterprise solutions. At Genmab, we’re committed to building extra[not]ordinary futures together, by developing antibody products and pioneering, knock-your-socks-off therapies that change the lives of patients and the future of cancer treatment and serious diseases.
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