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The Vibration Analyst (Predictive Maintenance) is responsible for executing the sites predictive maintenance program. Vibration Analyst (Predictive Maintenance) Ensure all plant assets are operating at optimal levels by developing new predictive techniques and programs for plant equipment.
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Predictive Maintenance Technician – Decatur, Illinois. Perform Predictive Maintenance tasks including but not limited to vibration, ultrasound, oil, and infrared sample gathering, testing, and analysis.
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Develop, maintain, and report on metrics relevant to the predictive maintenance process Maintain accurate and current predictive maintenance data in the Computerized Maintenance Management System (CMMS) Develop the PdM systems and procedures to ensure accurate and repeatable data is collected and analyzed on targeted equipment at appropriate intervals.
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As a Predictive Maintenance Technician, you will use tools and technology to identify equipment malfunctions (motor, pump, gearbox, compressor, fans, bearings, etc.) 2+ years' maintenance experience within a manufacturing, industrial, technical, military or related environment with a focus on predictive maintenance.
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Title: Predictive Maintenance Tech. Possess ISO Cat I or equivalent vibration analyst certification with ability to obtain next certification level. Started in 1950 on a small farm in the Northwest region of the U.S., Lamb Weston has grown to be one of the world's largest frozen potato companies, happily delivering the delicious goodness of fries to more than 100 countries.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Expertise in open source data science technologies such as Python, R, Spark, SQL.
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A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification.
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Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more. Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production.
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Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment. Drive AI products and services end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
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5+ years of experience using AI/ML , data science software (e.g., Python-based tools) Will your career be a deep dive into what you love, or a series of new teams and new skills? Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects.
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2+ years of experience acting as the senior technical lead helping facilitate analytical/technical discussions on solution tradeoffs for new feature implementations. The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Contribute towards advancing the AI Engineering and Data Science discipline in Ford Pro through the Community of Practice, including but not limited to driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
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