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Model Integration & Scalability: Collaborate with cross-functional teams to integrate data science solutions into scalable, production-grade systems using open-source frameworks like Apache Spark and containerization technologies like Docker.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
$97,258 - $131,584 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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As Machinist C, you will be responsible for operating a CNC Okuma or Mazak machine, setting up the machine to specifications, and performing maintenance on the machine as needed. Selects, aligns, and secures holding fixtures, cutting tools, attachments, accessories, and materials on machines as necessary to machine parts as required.
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The primary responsibilities of the Sewing Machine Operator include providing technical hands on leadership to the departmental staff. As a Sewing Machine Operator, this position is responsible for conveying a professional attitude towards other employees while recognizing the responsibility to meet production schedules and customer commitments.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Certification in Databricks, Apache Spark and/or Cloud Platforms (AWS/Azure) preferred. Experience migrating data platforms to Databricks including Hadoop/Cloudera, Teradata, Redshift, etc. Certification in Databricks, Apache Spark and/or Cloud Platforms (AWS/Azure) preferred.
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ROLE SUMMARY: Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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Performing pat down searches, operating an x-ray machine, screening baggage, and reviewing tickets. At least one year of full-time work experience in security work, aviation screener work, or X-ray technician work.
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Plasma torch machine, natural gas/oxygen torch, carbon arc gouging rods and machine, welding machine, welding jack, welding shield or curtains, air/electric surface grinders, air/electric cone grinders, air powered chipping hammers, chisels, drifts, air/electric hoists, castings manipulators, shovel, broom, wheelbarrow, adjustable wrench, electric conveyors, forklift, overhead crane, de-slagging hammer, wire brush, miscellaneous handheld tools, gauges, shims, etc.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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Hands on experience working with Cloud technologies, Infrastructure, Network Security, and/or modern deployment technologies and products including by not limited to CI/CD pipelines, Open-Source software, Artificial Intelligence and/or Machine Learning preferred.
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Performs anesthesia machine maintenance: Checks tanks, bellows, scavenging tubing. Turn Over of anesthesia machine by wiping down the machine and Lionville cart by following the infection control standard set by the department after each case: Circuits, blades,stimulator, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with some of the following areas: Dashboard building, Cloud Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development.
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Experience with data science libraries such as Pandas, Apache Spark, or SciPy. Omni Federal designs, builds and operates data-rich applications leveraging advanced data modeling, machine learning and data visualization techniques to empower our customers to make better data-driven decisions.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Experience with cloud-based machine learning services and platforms such as Google Cloud VertexAI or AWS SageMaker, and experience with model training, evaluation, and deployment workflows. Basic understanding of data preprocessing techniques such as feature scaling, feature engineering, and dimensionality reduction, and their application in preparing environmental data for machine learning models.
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