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Stay updated with the latest advancements in machine learning, Cognitive AI, and NLP (Natural Language Processing) research. Experience with Cloud Based Data Science, Machine Learning, and Cognitive AI tools and services.
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We employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience.
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5+ years of experience using machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and natural language processing and generative AI techniques with proven track record of end-to-end building and deploying advanced applications, including knowledge of model serialization and deserialization.
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Utilizing cutting-edge AI, machine learning, and natural language processing technologies, we aim to elevate team dynamics to achieve unparalleled productivity and business outcomes.
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Innovation Architect: Design and develop highly scalable algorithms across the full stack, incorporating machine learning, computer vision, natural language processing, and more.
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Demonstrated experience applying statistical modeling and/or machine learning methods to research problems, e.g., text mining, natural language processing, image segmentation, voice recognition, etc.
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Experience with advanced machine learning and artificial intelligence techniques, such as neural networks, natural language processing, or reinforcement learning.
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Conduct cutting-edge research in the field of natural language processing and contribute to the advancement of state-of-the-art techniques. Ph. D. in Computer Science, Statistics, Machine Learning, or a related field is a plus.
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Apply cutting-edge machine learning algorithms, including but not limited to deep learning, ensemble methods, and natural language processing, to analyze large-scale datasets related to customer behavior, product attributes, and digital commerce performance.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Mentor junior team members and provide guidance on best practices in data science and machine learning. 5+ years of experience in data science, machine learning, or related roles.
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Experience with IBM AI Fairness 360 (AIF360) - preference; Machine Learning (Client); Natural Language Processing (NLP); spaCy and NLTK, as well as language models like BERT and RoBERTa, are desired.
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1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
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Strong knowledge of advanced machine learning algorithms, deep learning frameworks, and natural language processing techniques. As a Data Scientist III, you will lead advanced data analytics projects, develop cutting-edge machine learning solutions, and provide strategic insights to enhance cyber defense capabilities.
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machine learning natural language processing cutting edge jobs Title: data scientist
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