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Our Client, a forward-thinking start-up at the forefront of quantum computing and artificial intelligence, is seeking a dynamic individual to join their team as a Machine Learning Engineer.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. In your role as a Senior Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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 1 month ago - UpvoteDownvoteShare Job
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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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Job DescriptionJob DescriptionPosition Overview:We are seeking a highly-skilled AI Curriculum and Chatbot Development Specialist with expertise in Machine Learning, Data Science and Artificial Intelligence, with strong programming skills to develop innovative AI-focussed curriculum for various age-groups and skill levels (from middle school through college-age) and design chatbots to support the learning of this curriculum.
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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.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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O You will design, develop, test, deploy, and maintain distributed & GPU-enabled Machine Learning Pipelines using K8s/AKS based Argo Workflow Orchestration solutions, while collaborating with Data Scientists.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with applying machine learning to real-world problems leveraging NLP, LLM Agents, LLM Fine-tuning, Recommendation Systems, Deep learning etc. As a Staff Machine Learning Engineer/Tech Lead, you will be responsible for leading the development and deployment of machine learning models and systems for our organization.
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Experience with Databricks for data engineering, analytics, and machine learning. Utilize Databricks for data engineering, analytics, and machine learning tasks. STB is currently seeking a highly skilled and experienced Database Architect with expertise in SQL Server, Azure Technologies, Databricks, and Python to join our team.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Must have 3 years of experience with each of the following: 1) Machine learning methodology and analysis, including supervised and unsupervised learning algorithms; 2) deep learning models; 3) programming in Python, SQL, and R; 4) applying Health Economic and Outcomes Research (HEOR) methods in a business setting; 5) statistical languages, including Matlab, SAS, and Hadoop.
$104,603 - $163,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Ability to develop ideas with stakeholders and turn them into rigorous solutionsProficient in Python and SQLDesired CharacteristicsWorking experience with product teams to deploy prescriptive machine learning models to drive one or more KPIs. Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.
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Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
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Your mission is to harness data and apply advanced technologies such as machine learning, computer vision, generative AI, predictive analytics, and data visualization. Mastery of algorithms, methodologies, and tools across various AI fields, including machine learning, computer vision, NLP, and generative AI.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Current experience and interest in machine learning/artificial intelligence (surrogate or metamodeling) from a coastal, hydrologic, geoscience or natural hazard perspective; This includes probability analysis, machine learning, storm climatology, database management, civil engineering, and coastal engineering.
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machine learning jobs Title: python developer in New York, Bentonville, Kansas
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