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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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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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Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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AI/ML Development : Oversee the design, development, and deployment of scalable AI and ML models and platforms to support various biotech applications, including predictive modeling, image analysis, natural language processing, and computational biology.
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Research & Development: Stay abreast of the latest advancements in machine learning, signal processing, and embedded systems, driving innovation and the adoption of best practices within the team.
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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. Machine Learning and Chatbot Development: Develop and integrate custom chatbot agents, leveraging ML techniques such as model chaining, fine-tuning, and function calling to enhance user interactions and automate processes.
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems 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 a strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Strong knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI domains. Incubate ideas, prototype, develop, and productionize machine learning applications.
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While not mandatory, we highly value candidates with expertise in machine learning (ML) and experience in developing custom chatbot agents. - Experience in machine learning, particularly in developing and fine-tuning models for specific applications.
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Experience with natural language processing (NLP) and deep learning frameworks TensorFlow, PyTorch). Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
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machine learning natural language processing web development jobs Title: engineer Company: Ibm
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