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Familiarity with modern BI tools like Tableau, Power BI, or Looker. Experience with cloud platforms such as AWS, Azure, or Google Cloud, with a focus on Snowflake integration.
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Data Migration & Integration: Experience with ETL tools (e.g., SSIS, Azure Data Factory) and migrating data from sources like SQL Server, Excel, APIs, and cloud databases into Power BI.
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Proficiency in data engineering tools and technologies such as Apache Airflow, Spark, Kafka, Hadoop, or similar. -Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, BigQuery.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Applying experience with cloud platforms, such as AWS, Google Cloud, or Microsoft Azure.
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Understanding or experience with conversational AI platforms, such as Google Dialogflow, Amazon Lex, IBM Watson, Microsoft Azure hyper-scalers; Understanding or experience with Contact Center as a service providers such as Nice, Nuance or Genesys and leading contact center transformation projects.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; 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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Using chatbot development frameworks, such as RASA or Microsoft Bot Framework; Understanding of Large Language Models such as Bard and/or OpenAI and NLG solutions; Linguistics, Computer and Information Science, Engineering.
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We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
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You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Understanding of data privacy and security regulations and best practices.
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Developing and implementing Contact Center AI & Conversational AI strategies that drive user engagement and adoption, as well as business growth and revenue; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value; Relational storage (SQL), Non-relational storage (NoSQL), RASA bot framework, LUIS, Azure.
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Developing AI solutions for multilingual audiences; To help us achieve this we have the PwC Professional; our global leadership development framework. Leading the design and development of Contact Center AI solutions and Conversational AI solutions that improve customer engagement and satisfaction, reduce customer service costs, and increase operational efficiency.
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Working in Contact-Center-as-a-Service and/or Conversational AI development, with a track record of delivering successful projects; and, Working closely with stakeholders across the organization to ensure that Contact Center and Conversational AI solutions are aligned with company goals and values, and meet regulatory requirements.
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Managing the end-to-end AI development lifecycle, from ideation and design to testing, deployment, and maintenance; PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more.
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For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis.
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A retail store manager's job responsibilities aren't easy. Regardless of the parent company's size, it is the store manager's duty to ensure ALL store-related operations run smoothly. Because being an effective leader in retail management can be tough, it is automatically assumed that getting a job is even tougher. But even though the job responsibilities can be tasking, landing a retail store manager position is a little easier... but only if you have the right tools. Most companies do not expect prospective store managers to have a sophisticated educational background. Instead, they select people with convincing skill-set and experience. So, how do you convince recruiters that you're the best candidate for the job? Start by writing a compelling retail store management resume!
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How to Write a Property Manager Resume
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