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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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The Data & Analytics department in Legal and Compliance is responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like reinforcement and deep learning as well as graph analytics.
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Experience with IBM AI Fairness 360 (AIF360) - preference; Machine Learning (ML); Natural Language Processing (NLP); spaCy and NLTK, as well as language models like BERT and RoBERTa, are desired.
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Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
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Knowledge and understanding of machine learning techniques and natural language processing (NLP). Oversees the development of data delivery services to support critical operational processes, analytical models, and machine learning applications.
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Experience with feature selection, computer vision, or natural language processing model building, and optimization using supervised and unsupervised machine learning techn iques to support analytic objectives.
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Build pipelines and scalable analytic tools using leading technologies in support of data science, predictive modeling, Natural Language Processing, and Machine Learning use cases.
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Domain knowledge and experience with natural language processing, machine learning, deep learning and/or advanced analytics processing preferred. Our client is seeking a Technical Product Owner to help drive the tactical execution of a Natural Language Processing (NLP) Data Infrastructure for the Department of Veteran's Affairs.
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Apply expertise in Natural Language Processing (NLP) alongside statistical analysis and machine learning models for enhanced data processing. Effectively interpret and present results obtained from statistical analysis and machine learning models to stakeholders.
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Extensive experience in developing and implementing AI algorithms and models, leveraging machine learning techniques such as deep learning, natural language processing.
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Role: Data Scientist (PHD) Data Scientist (PHD) Proven experience analyzing data, including data quality assessment, data governance, and data protection. Knowledge of TensorFlow, PyTorch, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Master's Degree, Advanced Degree in Computer Science, other quantitative discipline, or Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with 13+ years of experience.
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Experience in Machine Learning (ML), Natural Language Processing (NLP), spaCy and NLTK, as well as language models like BERT and RoBERTa, are highly desired. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
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machine learning natural language processing jobs in Towson, MD
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