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We are currently seeking an experienced Machine Learning Engineer/Software Developer to join the Big Data and Advanced Analytics department. Title: Machine Learning Engineer/Software Developer.
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We’re looking for a talented Machine Learning Engineer to join Procore’s Product & Technology Team. Procore software solutions aim to improve the lives of everyone in construction and the people within Product & Technology are the driving force behind our innovative, top-rated global platform.
$124,800 - $171,600 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Recent experience with Azure data engineering or ML platforms like Azure Databricks and Azure Machine Learning. Familiarity with Azure data engineering or ML platforms like Azure Databricks and Azure Machine Learning is preferred.
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Must have 2 years of experience with robotic welding, including: 1 year of experience with Machine Learning Algorithms using Python and scikit-learn, pandas, NumPy, and SciPy packages; digital communications including SPI and Ethernet UDP messaging; managing multiple actions on 1-4 active projects using Agile methodology; and communicating and presenting Machine Learning topics to upper management and customers involving Machine Learning algorithms applied to welding data.
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To help us innovate and build industry-leading AI models, we are seeking a highly motivated software engineer with expertise in leveraging NVIDIA GPUs for machine learning applications.
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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. We are looking for candidates having hands on experience as a Vertex AI Machine Learning Engineer.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7+ years of experience in Machine Learning and Data Science. Strong programming skills in Python; experience with Machine Learning libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Py Torch, scikit-learn) and LLMs.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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Synechron is looking for a Vertex AI Machine Learning Engineer to join our Team in Irvine, TX. Google Cloud Professional Machine Learning Engineer certification.
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Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning, Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse. Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning , Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse.
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Computer engineering, electronic, photonics, processor, python, robotics, software engineer. Significant experience with machine learning and deep learning frameworks such as sklearn and PyTorch/Tensorflow/Keras.
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We are looking for someone who has experience as a machine learning engineer and as a software engineer, as we operate at the intersection of those two roles. We are looking for an experienced engineer to join MLF. While your initial focus will be building self-service tooling for feature engineering, you will also work across the entire machine learning lifecycle.
$168,300 - $297,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Computer engineering, electronic engineering, informatic, java, machine learning, photonics, programmer, robotics, software engineer. Experience with data MySQL, Hadoop, Redshift, Statistics, Machine Learning, Java, Python, R, Linux, Informatica Power Center, Salesforce, Oracle Netsuite, Streamsets, and Tableau is required.
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Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Develop custom training pipelines for more complex machine learning tasks using frameworks like TensorFlow and PyTorch.
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machine learning software engineer jobs Title: data Company: The Johns Hopkins University Applied Physics Laboratory
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