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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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Our team specializes in a range of data analytics and science services, including data visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation.
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Demonstrated experience in communications, spectrum sensing, electromagnetics, signal processing, machine learning/artificial intelligence, or applied mathematics. -Expertise in signal processing, electromagnetics, modeling & simulation, machine learning, image, or control theory.
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Your job is to be a full-stack ML engineer, supercharging all aspects of scaling Machine Learning at NEXT: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring.
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Data Science / Machine Learning => 5/10 experience. You will design, develop, test, deploy, and maintain distributed & GPU-enabled Machine Learning Pipelines using K8s/AKS based Argo Workflow Orchestration solutions, while collaborating with Data Scientists.
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The ideal candidate possesses strong logic and interpersonal skills, demonstrating expertise in database design and implementation, predictive and prescriptive modeling, machine learning (ML) model development, training, deployment, and data visualization.
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You must have expert knowledge of the principles, algorithms, and techniques in video and image processing, or machine learning, or computer vision technology. In-depth knowledge in development, training, testing, and computing platforms for deep learning (DL) and statistical machine learning (ML.
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This role will be responsible for inventory item master data maintenance, item life cycle management maintaining partner supplier performance and sourcing all sellable inventory in Chick-fil-A's Support Center Warehouse (SCW.
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In addition to traditional DSP, Sound, and Image Processing tools, the lab should extensively leverage artificial intelligence, machine learning & data mining, and natural language processing tools and techniques.
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Notifies Resident Care Coordinator/Administrator/Health Services Director (HSD) of resident changes of condition. Reports to maintenance/Administrator/Resident Care Coordinator regarding any safety issues in resident’s apartment such as frayed cords, broken furniture/equipment, etc.
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Participate with internal and external stakeholders to understand the business logic and other requirements (such as refresh latency) for our Web-based payment integrity solution, client data warehouse exports, and one-time/ad-hoc analysis needs.
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Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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Handle highly confidential and sensitive information in strict accordance with Chick-fil-A Supply and Bay Center Foods confidentiality and data security policies. Partnership with Chick-fil-A, Inc. on review of payroll and timekeeping systems related to leave of absence.
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Must have 2 or more years working as a OneStream administrator, with proficiency in performing maintenance tasks across the following application components: Cube Chart of Accounts (dimension/hierarchies), Cube Business Rules\Calculation Logic, Data Collection Templates, Data Integrations (Data Sources, Transformation), WorkFlows, and Dashboard & Reports.
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data administrator machine learning warehouse jobs in Atlanta, GA
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