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Two (2) years of relevant AI engineering experience in natural language processing (NLP). We are seeking a Software Engineer that specializes and has a strong desire to work with artificial intelligence (AI)-based technologies revolving around natural language processing.
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Statistical analysis using machine learning algorithms such as natural language processing, logistic regression, Random Forest or gradient boosting. Experience in Java, Python, Perl, or another scripting language.
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Specialization in speech recognition, natural language processing, or audio signal processing is highly desirable. Currently pursuing a Master’s or PhD degree in Computer Science, Electrical Engineering or related fields; or a Master’s degree in Computer Science, Electrical Engineering or related fields with 3 years of experience in speech recognition, speech processing, and/or natural language processing.
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Robust foundation with one or more contemporary machine learning or predictive modeling algorithms, such as ensemble methods, natural language processing (NLP) techniques, clustering algorithms, or deep learning methods.
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This opportunity will involve data processing of different requirements-oriented documents and use software to assess compliance with requirements from natural language. Familiarity with NLP frameworks to parse, disassemble, and analyze natural language.
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Knowledge and experience with NLP (Natural Language Processing) libraries within Python. Implement and deploy scalable solutions for data processing, model training, and evaluation.
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Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results.
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We are seeking candidates with industry experience in data science, machine learning, deep learning, artificial intelligence (AI), human-AI interaction, AI security principles, natural language processing, and/or computer vision for software development projects to join as university instructors.
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Intermediate to strong understanding of current and emerging technologies, including machine learning and natural language processing, and how they can be applied to drive desired outcomes.
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Specialized experience for this position includes: Experience applying 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 study.
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Familiarity with computer vision, natural language processing, or reinforcement learning is a plus. Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch.
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You should have a strong background in natural language processing and a creative flair to produce content that resonates with a healthcare audience. Experience with natural language processing and AI content generation.
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The Senior Data Scientist must have experience in generative model training, data sampling techniques and natural language processing (NLP). Experience with natural language processing (NLP) techniques and tools.
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Staying up-to-date with the latest advancements in natural language processing (NLP) and machine learning (ML) research, exploring new techniques, and applying innovative approaches to enhance model performance and capabilities to support our clients' staffing services.
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Developing and optimizing natural language generation models and image generators using OpenAI's GPT-3.5 architecture, Midjourney, or similar LLMs and image AI tools to generate text and images based on specified criteria, such as tone, style, and content.
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natural language processing jobs in Orlando, FL
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