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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications.
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About the RoleAs a Machine Learning Engineer - Technical Lead II for Crowe Intelligent Document Analyzer (CIDA), you will design the future of this document extraction product as it transitions from a combination of Natural Language Processing and embeddings models to fully integrate with Crowe’s in-house Generative AI platform and to leverage Large Language Models (LLMs.
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Natural Language Processing (NLP). You enjoy machine learning and understand supporting these solutions in a production environment using tools like Docker and Git; you’re familiar with Kubernetes.
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Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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Data Science : Apply natural language processing and machine learning/AI advanced techniques to train and optimize models for automating analysis, processes and insight.
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Architect, design and develop advanced AI models forLLM application, focusing on natural language understanding (NLU), natural language processing (NLP), and machine learning.
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10+ years of hands on experience in advanced analytics, machine learning, and natural language processing. The Lead Data Science and Machine Learning (ML) executes Ontada’s technology roadmaps in ML and Natural Language Processing (NLP) Data Platform roadmap through close collaboration with Ontada commercial, chart abstraction and engineering teams.
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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
$105,353 - $179,101 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 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.
$100,200 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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2+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI) Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.
$100,200 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools.
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Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing. Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
$96,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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These may include, but are not limited to, predictive analytics, prescriptive analytics, natural language Processing (NLP), machine learning, generative AI, etc. Familiarity with data technologies such as data visualizations, Natural Language Processing (NLP), Machine Learning, generative AI. Comfort with big data approaches, such as data lakes, desirable.
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