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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. Knowledge in machine learning, deep learning, NLP, and Computer Vision.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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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Knowledge of NLP libraries, ontology-based and deep learning-based libraries, (i.e., Huggingface, SpaCy, NLTK, cTAKES, MetaMap, or John Snow Labs) The Lead Data Science and Machine Learning (ML) directs and 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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Experience working with NLP based algorithms such as BERT, ALBERT and deep learning algorithms such as CNN, RNN, RBM, AutoEncoders, etc. Experience working with data engineers and data scientists to implement AI, ML & NLP techniques for variety of use cases using industry frameworks.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Expertise with LLMs (Microsoft Azure Open AI, AWS Bedrock and other LLM models) We assist companies and non-profit organizations in delivering benefits to their employees. Experience with RAG and Chatbot application development is desirable.
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Experience working with machine learning algorithms such as Scikit-Learn, TensorFlow, PyTorch, MXNet, etc. Hands on experience using LLM related application frameworks, preferably Langchain. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent.
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Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting, and optimization to multiple analytics projects. Comfortable working in the cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark.
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FocusKPI is looking for a NLP Data Scientist intern to work for our company’s internal projects. Experience developing natural language processing (NLP) models. As an NLP Data Scientist, you will develop and refine our Large Language Models tailored for business applications.
$3,000 - $5,000 a monthFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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5+ years of experience in developing deep learning and/or NLP models. Leveraging NLP tools to solve real world problems that require sequential decision making. Expertise in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem.
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Solves business problems — Business to Consumer (B2C), Business to Business (B2B), quality operations, operations management, and automation — using Artificial Intelligence (AI) and data science techniques (Natural Language Processing (NLP), DL, ML, causal inference, predictive analytics, experimental design, and optimization.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computed-assisted translation (CAT) solutions. Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computed-assisted translation (CAT) solutions.
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Preferable experience of 1-3 years for Ph. D or mandatory experience of 7-10 years for MS, with a strong record of accomplishments and project experience in AI, ML, NLP, and LLM's. A PhD degree or Masters in Computer Science, Information and Engineering Sciences, Computational Linguistics, Applied Mathematics or Applied Sciences with a focus on machine learning and deep learning.
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Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.) Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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5 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition). Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch.
$140,000 - $209,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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