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They are responsible for content instruction in mathematics, English Language Arts, and social studies, and social-emotional learning. We fully support the development of our educators to broaden their interpretation of culturally and linguistically diverse students learning behaviors.
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Experience in Development and/or validating probabilistic models, Bayesian models, Decision Trees, Random Forest, Ensemble Models, Neural Networks, PCA/Preventive Crime Research, Logistic / Linear Regression, Linear / Non-Linear Optimization, Support Vector Machines, Natural Language Processing, Large language models, Graphic deep learning, audio programming.
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Is required (test required)Algorithmic trading experience is required (essential), whether personal or professional experience Desirable Skills: Prior experience as a Quantitative Trader/ ResearcherExperience with Machine Learning, Natural Language Processing or Deep LearningKnowledge of the DeFi and Web 3.0 ecosystem.
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ML Ops: Design and Build customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domainsTechnical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Job Description :We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions.
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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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We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, and Machine Learning model improvements.
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Experience with machine learning and natural language processing techniques. + Help develop and apply computational psychometric methods for high-quality language assessments, such as adaptive assignment algorithms, psychometric models for complex tasks, and explanatory item response theory models.
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8+ years of backend software development experience in building and maintaining applications in any mainstream language such as: Java, JavaScript, Python, Kotlin, Ruby, Go, Swift, C.
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Minimum of 3 years of experience in machine learning or deep learning engineering or demonstrated proficiency in computer vision such as training of CNN based models, GAN or diffusion based models for data generation, optimizing trained models for deployment and signal processing and traditional computer vision algorithms such as those in OpenCV.
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Silver HCM Excellence Award for Learning & Development" - Brandon Hall Group. Certified Registered Central Sterile Technician (CRCST) or Certification Board for Sterile Processing and Distribution (CBSPD.
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In this role, you will:Contribute to cutting-edge research in machine learning, including algorithm and method development, specifically applicable to drug discovery and large language models (LLMs.
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Language skills and cultural knowledge, specifically in Arabic, Bosnian, Chinese, Farsi, Russian, Somali, Uzbek, Korean or another language are highly sought after by the FBI. Use your linguistics and language background to become an FBI Special Agent.
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The Dey Lab in Computational & Systems Biology program at Memorial Sloan Kettering Cancer Center is seeking postdoctoral fellow in machine learning/artificial intelligence and applied statistics to lead inter-disciplinary collaborative projects in biological sciences supervised by Dr. Dey, in collaboration with Dr. Rahul Mazumder , MIT Sloan School of Management.
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machine learning natural language processing jobs Title: software development engineer in New York, Bentonville, Kansas
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