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Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB. Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Experience with NLP, image processing, and/or audio processing. Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Bioscience’s data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing.
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Knowledge of contact center skills, including ACD, IVR, NLP, automated dialers, queuing, skilling, VoIP, DID, TFN, DNIS, call recording and screen recording, quality, ACD Email, Web Messaging and SMS.
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Proven experience with a variety of ML packages and technologies in python, such Deep Learning (TensorFlow, PyTorch, GANs, RNNs, CNNs), NLP (HuggingFace), Decision Trees (RF, XGBoost), Vevo is available on YouTube, Samsung, Samsung TV Plus, Amazon Fire TV, Amazon Echo Show, PlutoTV, Apple TV, Roku, Comcast (Xfinity X1 and Xfinity Flex), VIZIO, Sky (NowTV and SkyQ), Foxxum, XITE, NetRange, Redbox, T-Mobile Play, Virgin Media, Xumo, Telstra and Vewd.
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Experience with Elasticsearch, Machine Learning and NLP. The Eventbrite platform provides an intuitive, secure, and reliable service that enables creators to plan and execute their live and online events, whether it’s an annual culinary festival attracting thousands of foodies, a professional webinar, a weekly yoga workshop or a youth dance class.
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2+ years of experience with Natural Language Processing (NLP) & Natural Language Understanding (NLU) systems. These applications include building healthcare assistance tools, personalization systems, and NLP/NLU models.
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Win federal contracts for both CV/NLP/LLM model development and Clarifai’s full lifecycle AI/ML Platform. Clarifai is a leading, full-lifecycle deep-learning AI platform for computer vision, natural language processing, audio recognition, and large language models (LLM.
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Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components.
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AT Integration: Seamlessly integrate NLU, LLM and NLP technologies to enhance the chatbot’s understanding, conversation flow and response generation capabilities. As part of our commitment to delivering exceptional service experiences, the candidate will leverage advanced AI, Natural Language Understanding (NLU), Large Language Models (LLM), and Natural Language Processing (NLP) technologies.
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Experience in Natural Language Processing (NLP) Become a part of our caring community and help us put health first. Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, MATLAB, DataRobot or similar statistical and scripting tools.
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