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Emerging Technologies : Familiarity with the latest eLearning technologies, including AI-driven learning tools, virtual reality (VR), and augmented reality (AR) to enhance interactive learning experiences.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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2+ years of experience as a developer, data scientist or machine learning engineer. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.
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Experience with design development from schematic capture, PCB layout through assemblyFamiliarity with the emerging Augmented Reality and Virtual Reality technologies. Job descriptionWe are seeking an Electrical Engineer who has a passion for working across disciplines to turn early cutting-edge concepts and technologies into reality.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. On any given day, you might:Evaluate open-source and internally-developed modeling and analytics tools using real business dataIntegrate internal data with external data sources and APIs to discover and implement actionable insightsDesign and craft data science models to communicate solutions to customers and company leadership We'd love to find someone who is.
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Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas. We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams.
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You'll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Demonstrated experience in cancer genomics and omics data analyses, including experience with developing pipelines for next-generation sequencing data analysis and QC. Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning.
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Develop next-generation technology for image processing, machine learning, and predictive analytics. Expertise in a subset of the following: machine learning, object detection, image segmentation, computer vision, image processing, remote sensing, spectral science, neural models for autonomous vehicles/robotics, structure from motion (SfM), natural language processing (NLP), large language models, data fusion, change detection, and pattern of life analysis.
$229,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Thousands of organizations worldwide - including Comcast, Condé Nast, Nationwide and H&M - rely on Databricks' open and unified platform for data engineering, machine learning and analytics.
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If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology.
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Other desirable skills include the ability to perform computational biology analyses of next-generation sequencing data and experience with various mouse cancer models. We utilize a range of techniques, including biochemical and molecular biology methods, next-generation sequencing (including single-cell sequencing), and genome editing to study these processes in cell culture, mouse models, and patient-derived models.
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Our modern diagnostic equipment includes multiple ultrasound machines, Antech blood machines for in-house chemistries/CBCs, a coagulation time analyzer, a blood-gas machine for venous and arterial blood gasses, as well as a 12-lead ECG machine.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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