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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
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The Hartford is seeking a Senior Machine learning Engineer within Actuarial to design, develop, and implement modern and sustainable MLOps framework to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
$170,040 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Are you a seasoned Machine Learning Engineer with a background in software development and a history of crafting production-level applications? Our Machine Learning department is expanding, and we’re in search of a Machine Learning Engineer with a solid track record in the creation and implementation of Machine Learning workflows.
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Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills.
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Senior Machine Learning Engineer - LLM, NLPs. The successful candidate will play a pivotal role in enhancing their computational capabilities by integrating state-of-the-art machine learning techniques, particularly LLMs and NLP, into their bioinformatics workflows.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Research expertise in machine-learning, artificial intelligence, image processing, acoustics, psychoacoustics, and ambulatory monitoring to study speech, voice, and upper airway function including recording and analyses using high-speed videoendoscopy.
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Responsibilities:Data Science Strategy: Develop and implement Statistical, Machine Learning, Deep Learning, NLP, Gen AI modeling, development and fine-tuning strategies, best practices, and standards.
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Design and implement sophisticated machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios. The ideal candidate is an expert in applying artificial intelligence and machine learning to the challenges of autonomous navigation.
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Areas: Data, Artificial Intelligence, NLP, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning, Bioinformatics. Senior / Principal Recruitment Consultant - AI, Machine Learning & Data Germany / DACH.
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Minimum 1 year experience working as a learning designer or digital learning content creator, ideally within the following sectors: further education, higher education, international development, public sector, charities, NGO.
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2+ years of experience in Machine learning/Deep learning. Strong Python skills and experience with deep learning frameworks (PyTorch / Tensorflow) We are on a mission to make the Internet a safer place for businesses and consumers and work with fantastic customers across a number of industry sectors - organisations using our technology include the US Department of Homeland Security, the UK Home Office, the NHS, Eurostar, the Australian government, the Singapore government, UBS and many more.
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Job Description: Exciting Opportunity at MSK: Postdoctoral Fellow in Computational Genomics and Cancer Data Science We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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Develop and apply advanced machine learning, deep learning, and natural language processing (NLP) techniques to analyze and interpret complex datasets. Strong experience in Python, R, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
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machine learning jobs Title: welder Company: Aerotek
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