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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Hands-on experience with Databricks for big data processing and HVR (Fivetran) for data integration. Experience with DBT (Data Build Tool) for data transformation and SAP FICO for financial accounting and controlling is highly preferred.
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Experience in full stack development including RESTFul APIs, SOA/MSA, Message brokers (Kafka), Distributed Data Management (NoSQL, Event sourcing), Observability (Grafana), Splunk, Devops, CI/CD, Nginx and AWS/Azure.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Specific areas of emphasis are Analytics and Data Science, Wearable Technologies, Paperless, AI, Digital Upskilling, Digital Workforce, and IT/OT. You will interface with site process and flow teams, Tech at Lilly leadership, global MQ Tech at Lilly functional teams, and the broader Tech at Lilly community at a project, application, or program level, and will help with the support of existing solutions.
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The Company's end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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This job will deliver value to the Health Plan, and its beneficiaries enrolled in Risk Adjusted government programs such as Medicare Advantage (MA) and Affordable Care Act (ACA), using skills including but not limited to Hierarchical Condition Category (HCC) Coding, medical coding, clinical terminology and anatomy/physiology, Centers for Medicare and Medicaid Services (CMS) coding guidelines, and Risk Adjustment Data Validation (RADV) Audits.
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Plan projects based on the analysis of relevant materials such as drawings, blueprints, aerial photography, survey reports, maps, and other geologic and topographical data. The person in this position will perform structural and non-structural design, data collection, data analyses, flood modeling, and cost-benefit analyses for structures such as waterways, pipelines, dams, dikes, culverts, canals, and other water-related resources and facilities.
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The Store Operations Financial Analyst is a member of the Operations team and is tasked with the analysis of past and present financial and operational data of the organization along with forecasting future revenues and expenditures by applying principles of finance/accounting.
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Alamon, Inc. is hiring a Level 4 DC Power Technician with extensive experience working in Central Offices, MSO and Data Centers. Possess experience installing equipment including Adtran, Cisco, Ciena (Ethernet and/or DWDM), Infinera, Fujitsu, Calix, Nokia, Galaxy 4848, Galaxy Millennium Controllers, Vertiv Power Systems, Eltek Power Systems, and Wet/VRLA Battery replacements.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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They operate a submarine’s sonar, oceanographic equipment, and auxiliary sonar to conduct underwater surveillance, collect scientific data and track enemy targets. Sonar Technician, Submarine (STS) STSs specialize in underwater acoustic technologies.
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Its many popular brands include Red Baron, Tonys, Big Daddys, Villa Prima and Freschetta pizza; Mrs. Smiths and Edwards desserts; and Pagoda Asian-style snacks. Ability to understand/use WMS (Warehouse Management System); and eventually understand/utilize SAP (Systems Applications Products in Data Processing.
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Industry certifications and/or experience with cloud platforms and modern data center solutions such as AWS, GCP, Dell, HPE, NetApp, Nutanix, Hitachi, IBM, Etc. Cloud data or AI related Microsoft Associate or Expert certifications are a plus (examples: Azure Administrator Associate, Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Data Engineer Associate, Azure Solutions Architect Expert, Microsoft Cybersecurity Architect Expert or similar.
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Certification in data visualization tools or relevant cloud technologies (e.g., Tableau, Power BI, Looker, Domo) Stay up to date with the latest trends and advancements in data visualization, data engineering, and cloud technologies, and proactively recommend innovative solutions to enhance our analytics capabilities.
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big data jobs Company: Gopuff in Indianapolis, MN, Arkansas
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