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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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Our technology, powered by the latest natural language processing and deep learning technology, is used across industries, to power digital workplaces, accelerate digital transformation, and provide workers with contextual and secure access to the data they need to achieve their missions.
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Projects in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Audio Processing, Computer Vision, or other related fields. Our solution is built off of proprietary machine learning models trained on 10M+ documents to determine if text was generated by ChatGPT or other public LLM tools.
$140,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Experience applying various Machine Learning techniques such as: Time Series Forecasting, Recommendation Systems, A/B Testing, Dynamic Pricing, Logistics Optimization, Churn Analysis, Segmentation Analysis, Natural Language Processing, Deep Learning and Reinforcement Machine Learning.
$90,500 - $128,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Skills Required: Requires experience in the following: Natural Language Processing (NLP) in a commercial environment; programming expertise in Python; Agile development paradigm; machine learning APIs and computational packages including Scikit-Learn, NumPy, SciPy, and Pandas; neural network packages such as PyTorch or TensorFlow; and development in Amazon Web Services (AWS) environments.
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Build production-ready models using statistical modeling, mathematical modeling, econometric modeling, machine learning algorithms, network modeling, social network modeling, natural language processing, or genetic algorithms.
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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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3+ years experience with Enterprise-scale technical experience with Azure AI Services including Azure OpenAI, Azure Cognitive Search, Azure Speech, Azure Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, open-source AI frameworks, AI Infrastructure, or architecture design.
$101,200 - $213,200 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics. You will be responsible for designing, developing, and maintaining scalable data pipelines, optimizing data flow, and enabling advanced analytics and machine learning initiatives.
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The successful candidate will be responsible for leading and driving transformative initiatives in data engineering, artificial intelligence, and machine learning to empower Chubb's digital transformation journey.
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