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Optimize machine learning pipelines for performance and scalability using LangChain for natural language processing tasks. The Machine Learning Engineer role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments, and also being part of customer success teams.
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$247,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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In this role you are passionate, talented, and inventive Machine Learning Engineer with a strong background in ML and AI to help develop solutions by pushing the envelope in Generative AI, Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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This is a hands-on Machine Learning Engineer Manager so you should be someone that wants to get their hands dirty but equally someone with proven people management experience. We're searching for a hands-on Machine Learning Engineer Manager - a senior engineer with people management experience, ideally comfortable leading a growing team of 5.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth informatics and signal processing.
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5 years of progressive engineering experience in gas standards and materials, project engineering or construction management of natural gas, pipeline facilities or other applicable industries.
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Assess, develop, and implement data modernization methods (e.g., use of APIs, machine learning technology such as Natural Language Processing (NLP), and other artificial intelligence [AI] tools) for gathering, analyzing, and visualizing quantitative and qualitative DHP data to further enhance the efficiency, effectiveness, and utility of the Dashboard.
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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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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Description : As a Senior Machine Learning Engineer, you will lead the development and implementation of sophisticated data engineering solutions to support the deployment and optimization of AI models.
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3+ years supporting the development and deploying machine learning & AI models into production and ability to work across structured, semi-structured and unstructured data. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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As a Senior Machine Learning Engineer at Reserv, you will define our technological trajectory and drive growth for years to come. Develop and integrate AI models and machine learning solutions using our tech stack: Python, AWS (including Bedrock, SageMaker), Docker, Postgres, and Ruby on Rails.
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We seek applications in the broader areas of Human Computer Interaction; Artificial Intelligence and Machine Learning (including but not limited to Computer Vision, Deep Learning, Natural Language Processing); Robotics; Social Computing; Responsible AI (including but not limited to Ethics and Explainability); Health; Sustainability (including but not limited to Environmental Sustainability and other issues across the UN Sustainable Development Goals); and Usable Security and Privacy.
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