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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
$345,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Areas to tackle include Natural Language processing, general Machine Learning, Computer Vision techniques etc. Leading: Mentor and guide junior engineers, fostering a culture of continuous learning and professional growthTHE ESSENTIALS FOR SUCCESS: BS or MS degree in Computer Science, Artificial Intelligence, Machine Learning, or other related degrees (e.g., Applied Mathematics) with a focus on Machine Learning.
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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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10+ years of experience in natural language processing, machine learning, or a related field. - As a hands-on leader, stay up front with latest technology development in the science domain, including but not limited to machine learning, generative AI and LLMs, and drive science applications and innovations in products and programs in SDS. - Mentor and guide team members to achieve their career goals and objectives.
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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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Linguistics, Computer and Information Science, Engineering. Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using natural language understanding (NLU) and sentiment analysis; 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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Understanding of Large Language Models such as Bard and/or OpenAI and NLG solutions; 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.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Understanding or experience with Contact Center as a service providers such as Nice, Nuance or Genesys and leading contact center transformation projects. Using chatbot development frameworks, such as RASA or Microsoft Bot Framework.
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machine learning natural language processing computer science jobs Title: data scientist Company: Society Of Exploration Geophysicists
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