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Demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural language processing, as well as development and execution of annotation tasks with teams of experts.
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2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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In this role you are passionate, talented, and inventive Machine Learning Engineer with a strong background in ML and AI to help develop solutions by pushing the envelope in Generative AI, Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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Solid understanding of ML and AI foundations - Supervised/Unsupervised learning methods, deep learning architectures, Natural Language Processing (NLP), etc. 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.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning. Masters or Doctorate in Computer Science, Math, Statistics, or related areas with industry experience or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.
$282,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong background in deep learning models including Large Language Models (LLM), Prompt Engineering, and Natural Language Processing (NLP) Guardian is seeking an experienced individual contributor with a strong background in LLM and Generative AI. Your responsibilities will include developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Key Responsibilities: Lead Data Science Projects: Design, develop, and implement predictive modeling projects that address critical business problems, leveraging expertise in machine learning, deep learning, natural language processing, generative AI, and other areas.
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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.
$177,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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AI technologies (Machine Learning, Deep Learning, Natural Language Processing); Artificial Intelligence and Robotics, Analytics, Computer and Information Science, Computer Applications, Computer Engineering, Computer Management, Statistics, Software App, Management Information Systems, Information CyberSecurity, Information Technology.
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Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago
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