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KLA is seeking a motivated, experienced algorithm engineer to join our algorithms team within our AI and Modeling Center of Excellence in Ann Arbor, Michigan, USA. In this position, you will bring proven experience and/or academic background to research and develop new Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, and Image Processing algorithms for KLA’s innovative Broadband Plasma wafer inspection products.
$94,400 - $160,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Lead design and deployment of machine learning systems. 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 Artificial Intelligence/Machine Learning (AI/ML) Engineer develops AI/ML algorithms, cloud computing, and/or heterogeneous distributed computing infrastructures to support the deployment of AI/ML applications.
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Join a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
$132,600 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This includes IIoT Platforms (Ignition/ThingWorx), Data Acquisition, Machine Learning, additive manufacturing, digitalization, augmented reality, etc. The ME-i4.0 (Manufacturing Engineer Industry 4.0) will be a key member of the Eaton Aerospace Industry 4.0 deployment team responsible to drive the implementation of the smart factories across Eaton Aerospace Group.
$105,000.03 - $154,000.05 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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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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AI/Machine Learning: TensorFlow, KubeFlow, AutoML, BigQuery ML, AI Platform. Implement and manage machine learning models and data analytics solutions using GCP AI and ML tools.
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The Senior Machine Learning Engineer builds Machine Learning models, particularly NLP and LLM, and executes large NLP/LLM models on a cloud environment at scale. The Senior Machine Learning Engineer applies direct ML knowledge and skills to make a direct impact on improving student learning experiences at WGU. This role has the courage to challenge the current state and propose innovative ideas.
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Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying machine learning models. Ph. D. or Master’s degree in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on machine learning or artificial intelligence.
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Support model training and prediction using various types of machine learning techniques on structured/unstructured data, including imagery and text. Bachelor’s Degree or higher in Computer Science, machine learning, science, math, statistics, engineering field, or equivalent work experience.
$132,600 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In addition, the candidate should have a strong understanding and experience with the integrated machine learning environments provided in Azure, AWS and GCP, along with emerging experience with Generative AI ML technical architectures that include pre-trained LLM and diffusion models such as LLaMA, ChatGPT, Gemini, Stability AI and Claude as well as Vector Databases and orchestration tools such as LangChain.
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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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TSC’s Intelligent Systems Laboratory in North Carolina is a state-of-the-art research and development research facility, dedicated to R&D in the areas of computational neuroscience, deep learning, machine learning, persistent surveillance, autonomous systems, and computer vision.
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Leveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to lead the design, development, and deployment of end-to-end AI solutions for healthcare applications.
$134,888 - $195,624 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
deployment machine learning jobs Title: platform engineer Company: Baird
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