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Basic computer skills; Synquest; IV Pump; Phillips Monitoring System; Accucheck; EKG Machine, Specialty Bed Operation. LifeBridge Health includes: Sinai Hospital of Baltimore Northwest Hospital Carroll Hospital Levindale Hebrew Geriatric Center and Hospital Grace Medical Center Our Community Physician Enterprise, Center for Hope, Practice Dynamics Business partners: LifeBridge Health & Fitness, ExpressCare and HomeCare of Maryland Share: Apply Now.
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Build and train Machine Learning models using Azure and Databricks technologies. Build and train Machine Learning models using Azure and Databricks technologies. Knowledge of MuleSoft and Snowflake is preferred.
$129,000 - $176,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV.
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Incumbent is required to submit to urinalysis to screen for illegal drug use prior to appointment and is subject to random drug testing for the duration of service with Department of Defense Office of Inspector General (DoD OIG.
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Plans, coordinates, supervises and controls direct vending operations that may include food, retail, drink and amusement machines.
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Key job responsibilities•Lead the development and execution of a comprehensive utilities strategy for AWS data centers for new and Machine learning regions•Manage multiple Utilities, EPC and Owner's Engineers to deliver MV and HV power infrastructure, including negotiations and contracting.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. We are looking for a motivated and self organized Machine Learning Engineer who can build and deliver state of the art batch, streaming and real time ML and AI solutions to join the Marketing program to drive powerful experiences for our users.
$220,400 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with the basics of machine learning and high-performance computing (HPC). Knowledge of machine learning and AI techniques as they pertain to image recognition and data analysis.
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Experienced and highly proficient in 3D CAD software, ideally Solidworks, 3D printing. Machine shop experience is highly desired. Some work products will include mechanical models of space and ground systems in CAD software (e.g., Solidworks), thermal analysis, structural analysis, vibration analysis, and finite element analysis to support critical system trades.
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Working in close partnership with our AI/ML development team (the VP of Data and AI/ML and the VP of Product Management) you will be responsible for deploying ML and AI solutions by leveraging your expertise in machine learning, Airflow, Spark, Kubernetes and Sagemaker.
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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Meet or exceed quarterly new business sales targets, focusing on closing opportunities related to core service offerings at Lovelytics, such as machine learning, business intelligence, and data engineering.
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As the Federal Aviation Administration (FAA) is working to balance the needs of increased air traffic demand, integration of new entrants such as uncrewed aircraft systems (UAS, or drones), air taxis and commercial space launches, and application of emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML), they look to CNA to tackle their most complex challenges through data-driven analyses that produces actionable recommendations.
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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
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In the role, you will collaborate with engineers and data professionals to foster the use of data science, advanced analytics, machine learning, and other techniques to amplify solutions in EC’s issue areas.
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screen printing machine jobs in Washington, DC
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