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Ibotta is seeking a Machine Learning Engineer, Platform to help build ML systems that drive our company’s mission to Make Every Purchase Rewarding for millions of consumers. 2+ years of professional experience as a MLOps Engineer, Data Engineer, or equivalent role, focusing on machine learning and/or ML infrastructure.
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Proven experience in machine learning and classification. Expertise working with various sensor technologies, including Lidar, Radar, and Camera. Spotting and collaboratively closing gaps in tooling and data introspection to accelerate engineer velocity within Simulation.
$183,600 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with popular machine learning and deep learning frameworks such as GPT , TensorFlow, Keras, PyTorch, and Scikit-learn. The ideal candidate should have a strong background in machine learning, deep learning, LLMs, and data analysis, as well as experience in developing and deploying AI models on hardware/wearables.
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We are recruiting a Machine Learning Engineer for a major energy trader (energy / renewables). - Understanding of machine learning fundamentals, including deep learning, generative models, NLP techniques, such as sentiment analysis, and entity recognition and disambiguation.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Synechron is looking for a Vertex AI Machine Learning Engineer.
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AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
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Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning. Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics.
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Agility Partners is seeking a qualified Machine Learning Engineer to fill an open position with a Fortune 500 company based in the greater Connecticut area. As a Machine Learning Engineer, you will play a pivotal role in designing, building, and maintaining sophisticated machine learning models and pipelines.
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As a Director, Machine Learning Engineer you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Come join our Machine Learning Implementation Engineering team of creative technical experts who collaborate with customers to ensure their success with OfferFit! OfferFit was founded by ex-McKinsey and BCG math PhDs, and we’re funded by leading Silicon Valley VCs. OfferFit replaces A/B testing with automated experimentation, powered by self-learning AI. This allows lifecycle marketers to test & improve the performance of their campaigns much faster than before.
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A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology. Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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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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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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sensor engineer machine learning jobs Company: Aurora Innovation
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