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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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O Advanced knowledge of information security and systems, application controls and emerging technology utilization including but not limited to artificial intelligence, machine learning, deep learning, advanced process automation, cloud and application program interfaces.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience leading an organization through operational transformation/re-engineering efforts; Improving efficiency, reducing costs through artificial intelligence, machine learning, robotic process automation, or other digital capabilities.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US.
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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
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Helps cut, ream, solder, braze, fuse, solvent weld, groove, thread pipe and pressfittings using measuring tools, pipe cutters, torches, beveling machines, reamers, bolts, screws, fittings, alloys, gaskets, solvent cement, fusing machine, groove and pipe-threading machines.
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The Asphalt Paving Machine Operator is responsible for the safe and efficient operation of the paver. Austin Bridge & Road is currently seeking experienced Asphalt Paving Machine Operators (Paver) for North Texas Asphalt projects.
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Experienced with traditional as well as modern machine learning and statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
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The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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The Forklift Operator/Machine Operator (Production Area) supports the safe, efficient and productive set up, maintenance, and operations of machinery and forklifts (to include general maintenance, cleaning, lubrication (oiling, greasing, etc.
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We displace legacy data, forecasting, pricing, and reporting solutions with a single enterprise SaaS platform that leverages the latest advancements in deep learning, cloud computing, and user experience.
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Prior curriculum in statistics, economics, quantitative finance, Applied or Computational Mathematics, data analytics or management, machine learning, Prior curriculum in statistics, economics, quantitative finance, Applied or Computational Mathematics, data analytics or management, machine learning.
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Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java). Lead the design and development of advanced machine learning models to solve business challenges, leveraging techniques such as deep learning, reinforcement learning, natural language processing, and computer vision.
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machine learning jobs Title: sr data scientist Company: Rtx in Dallas, TX
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