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Develop, test, and document custom development, integrations, and data migration elements of SERVICEMAX implementation. Deliver Field Service Lightning application architecture, and guide development, integration, distributed data management, and application testing teams.
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Familiarity with the architecture of OSIsoft PI System, including components like PI Data Archive, PI Asset Framework (PI AF), PI Interfaces, PI Vision (formerly PI ProcessBook), and other modules.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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We are seeking a highly skilled and motivated Natural Language Processing (NLP) Data Scientist with a focus on fine-tuning Large Language Models (LLMs) to join our innovative team. Masters degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Job Responsibilities: Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Demonstrated knowledge of statistical techniquesStrong working knowledge of multiple analytic development tools, statistical tools, and programming languagesDemonstrated experience innovating and extracting insights from multiple data types including unstructured data.
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By applying, you consent to your information being transmitted by Monster to the Employer, as data controller, through the Employer’s data processor SonicJobs. Current or soon to be licensed dental hygienist in Wisconsin and an Associate’s or Bachelor’s degree in dental hygiene (where required.
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Work closely with the Technical Lead and Director, ML/AI in all aspects of data, like Connect and automate the pipelines, data processing through streaming cluster, provide data as products building data lake, data warehouse and data mart, and data cleansing and data governance developing big data engineering, Machine Learning and advanced analytics solutions.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Must have experience in data analysis (Nielsen/IRI preferred); translating data into insights, demonstrating strong leadership, teamwork and strategic thinking skills. Use consumption/panel and shipment data, sales performance, and financial analysis to understand key business metrics; report and make recommendations to improve performance of assigned categories/brands.
$85,370 - $112,050 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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In this client-facing role, you will support business leaders in the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.
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Demonstrable professional experience with applying Machine Learning, analysis, and modeling of large scale and complex data sets in Industry scenarios. Produce innovative solutions for client's clients driven by exploratory data analysis from complex and high-dimensional datasets, both structured and unstructured, applying advanced statistical, machine-learning and AI techniques.
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Responsibilities Test Setup Design – work with senior research engineers to scope, develop and build custom test setups for lab experiments including but not limited to test hardware (e.g. National Instruments, Raspberry Pi, or custom PCBs), test software (e.g. embedded controls and LabView), wire harnessing, and data acquisition systems.
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Assist in receiving and staging, marshaling, and accounting for Cadets and cadre and their baggage; When necessary, assist in the synchronizing of ground transportation of Cadets and cadre between the airport and Fort Knox; Make data entries into software programs that are being used to support airport Cadet/cadre reception and departure operations Support operations, as required, including temporary, newly created, and/or geographically separate operations.
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3 years data engineering experience on the Microsoft Azure, AWS, GCP and/or Snowflake platforms. The Senior Snowflake Engineer may also be responsible for building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics department.
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Understanding of modern data platforms such as Databricks, Snowflake, or AWS Sagemaker. Primary Duties & Responsibilities: Partner with our Data Scientists, Analysts, and business partners to deliver amazing AI solutions, including GenAI, via Databricks, AWS Cloud, and microservice architecture.
ExpandApply NowActive JobUpdated 8 days ago
data job Title: developer Company: Intuit in Milwaukee, WI
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