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Stay current with emerging technologies in natural language processing (NLP), large language models, general and generative AI, and machine learning. Knowledge of Natural Language Processing (NLP), Natural Language Understanding (NLU) techniques, Human-Computer Interaction (HCI), and Large Language Models (LLM.
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You will give linguistic expertise for American Sign Language and help develop natural language processing (NLP) technologies. Master's degree in linguistics, computational linguistics, language technologies or related field.
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NLP libraries like NLTK, spaCy, GPT-3, BERT, and Hugging Face's Transformers to create sophisticated natural language processing solutions. As a Machine Learning Engineer on our core Software AIML team, you will be at the forefront of designing and developing cutting-edge GenAI applications.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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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.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Python (XGBoost, H2O, Scikit Learn, Numpy, Pandas, NLTK, Stats models, Deep Learning), Natural Language Processing. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning.
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Primary purpose: Monitor and control terminal components such as pumps, compressors, rotating equipment, flare, vessels, tanks, blowers, natural gas compression equipment; electrical systems; utilities systems (air, nitrogen, water sump pumps); fire protection, and hazard detection systems; and security systems at an RNG gas processing facility.
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Areas to tackle include Natural Language processing, general Machine Learning, Computer Vision techniques etc. Leading: Mentor and guide junior engineers, fostering a culture of continuous learning and professional growthTHE ESSENTIALS FOR SUCCESS: BS or MS degree in Computer Science, Artificial Intelligence, Machine Learning, or other related degrees (e.g., Applied Mathematics) with a focus on Machine Learning.
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Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems.
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Utilize advanced natural language processing (NLP) techniques to enhance trading decisions. Extensive knowledge of statistical modeling, machine learning algorithms, deep learning frameworks (TensorFlow, Keras, PyTorch), and NLP techniques.
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Experience in natural language processing (NLP) and integrating chatbot agents into existing systems would be beneficial and is considered a plus. While not mandatory, we highly value candidates with expertise in machine learning (ML) and experience in developing custom chatbot agents.
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Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals.
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6+ years of experience in machine learning, deep learning, and natural language processing. Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models.
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Expertise in natural language processing (NLP) techniques and frameworks. Utilize natural language processing techniques to extract insights from textual data.
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natural language processing jobs Title: machine learning engineer Company: Advantis Global
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