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The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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It has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, image recognition and cognitive computing at scale for countless use cases across Alpha/CRD, Global Services, Global Advisors, Global Markets business lines, and corporate functions.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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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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We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Using natural language understanding (NLU) and sentiment analysis; 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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Understanding of data privacy and security regulations and best practices; 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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As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. Managing a team of AI consultants, data scientists, developers and designers, providing guidance, support, and mentoring to ensure the team is aligned with the company's strategic goals.
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A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics.
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Use data and insights to inform conclusions and support decision-making. Data, Analytics & AI. Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx.
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Specialty/Competency: Data, Analytics & AI. 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 chatbot development frameworks, such as RASA or Microsoft Bot Framework; Applying experience with cloud platforms, such as AWS, Google Cloud, or Microsoft Azure; Understanding or experience with conversational AI platforms, such as Google Dialogflow, Amazon Lex, IBM Watson, Microsoft Azure hyper-scalers.
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You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Developing and implementing Contact Center AI & Conversational AI strategies that drive user engagement and adoption, as well as business growth and revenue.
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Relational storage (SQL), Non-relational storage (NoSQL), RASA bot framework, LUIS, Azure; Developing AI solutions for multilingual audiences; To help us achieve this we have the PwC Professional; our global leadership development framework.
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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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machine learning natural language processing data engineering software engineer jobs Company: Intuitive Research Technology Corporation
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