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Software Engineer Lead Machine Learning & AI. The ideal candidate will have a strong background in machine learning, AI, and software engineering, with a specific focus on Retrieval-Augmented Generation (RAG), prompt engineering, and AI orchestration.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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Experience with any of the following Frameworks: Spring, Django, R Shiny, Tensorflow, MXNetUnderstanding or Application of Machine Learning and / or Deep LearningExperience in a scientific environment.
$96,600 - $151,800 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Support existing HR applications including but not limited to Oracle EBS HCM, iCIMS/Avature, Saba, Fuse Learning, SplashBI and functional groups which require monitoring, delegation, and the resolution of support tickets.
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Join Takeda as a Lead Data Engineer RDBU where you will help shape and implement the vision across US stakeholders leveraging innovative data, digital, and technology solutions to support the Rare Disease Business Unit. Guided by modern, cloud-based technologies and applying best practices, they will closely collaborate with the DD&T and the RDBU I&A teams to deliver and maintain effective solutions and help drive adoption.
$96,600 - $151,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets.
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Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML), and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
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Solid understanding of machine learning methods, ideally deep learning, with experience using at least one of the following frameworks: Pytorch, TensorFlow, JAX. · Experience with Docker, Kubernetes, and a major cloud provider (Google Cloud Platform and/or Amazon Web Services) is a plus.
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Strong technical expertise required in one or more of the following areas: Firewalls, Network Intrusion Detection and Prevention Systems, Routers and Switches, MDM, EDR, SIEM, AI, Machine Learning, Packet decoding and analysis, Web Proxy Servers, Load Balancing, SSL VPN Solutions, Web application firewalls and data loss prevention technologies.
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With its proprietary FORCE platform, Dyne is developing modern oligonucleotide therapeutics that are designed toovercome limitations in delivery to muscle tissue. The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne’s clinical studies.
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Familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, TensorFlow, PyTorch, etc.) Utilize industry standard best practices for software design and implementation, lead internal code review processes, provide code analysis, and proactively identify software risks.
$160,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The world of healthcare is changing fast and Commonwealth Radiology Associates is the "tip of the spear" when talking about advancements in Diagnostic Modalities, Image-Guided Intervention, AI, Machine Learning, and Health Blockchain Technology.
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Stay up-to-date with the latest trends and technologies in healthcare data analytics, including machine learning, natural language processing, and distributed computing. Experience with data analytics tools and technologies (e.g. Spark, Hadoop, machine learning libraries.
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As a frontend engineer you will work on our customer-facing software to enable our expanding array of industry revolutionizing application and machine-learning capabilities.
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Our program has demonstrated strong impact in terms of high school graduation, matriculation into post-secondary education and careers, and strong Social Emotional Learning and Identity Development.
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machine learning engineer jobs Title: cloud software engineer Company: Erias Ventures Llc in Boston, MA
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