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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; 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; 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 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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2+ years of experience in Machine learning/Deep learning. iProov has continued to scale rapidly this year and is currently looking for a Synthetic Data Research Engineer, who specialises in the creation of synthetic imagery, to join the growing AI function in our talented Science & Research team based in London.
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The successful candidate will be responsible for developing and implementing computational strategies to support cutting-edge research and development in the fields of protein science, antibody discovery, proteomics, systems biology, scientific databases, machine learning, and others.
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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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Data Science and Machine Learning Frameworks (PyTorch, TensorFlow, Scikit-learn etc.) Engage with user and analyst to explore and prototype front office opportunity and use-case exploring data and the application of cognitive and machine learning technology.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - 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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Design, develop, and implement automation and robotics solutions, including but not limited to robotic process automation (RPA), machine learning, artificial intelligence, and other advanced technologies.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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Are you a seasoned Machine Learning Engineer with a background in software development and a history of crafting production-level applications? Our Machine Learning department is expanding, and we’re in search of a Machine Learning Engineer with a solid track record in the creation and implementation of Machine Learning workflows.
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Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. and working knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face.
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Minimum of 3 years designing and deploying in AI/ML/ NLP/Deep Learning solutions. Experience in collaborating with data engineers, implementing advanced AI, ML, and NLP techniques using industry-standard frameworks.
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machine learning data mining jobs Title: machine learning engineer Company: Berkeley Medical Center
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