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Machine Learning Data Engineer (Remote - US) Bachelors or Masters degree in Computer Science or Data Science. Work alongside machine learning engineers for building duplicatable and high scale ML data pipelines.
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3+ years of experience in data science and machine learning with a strong focus in one of the following: advertising, recommendation systems, quantitative finance, or yield optimization.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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Iterative Health is pioneering the use of artificial intelligence-based precision medicine in gastroenterology, with the aim of helping to optimize clinical trials investigating the treatment of IBD. We use advanced machine learning and computer vision to interpret endoscopic videos along with other types of data, helping clinicians better assess patients with potential GI problems.
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6+ years experience as a Machine Learning engineer with working knowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet. We are looking for a Staff Machine Learning Engineer to help us develop and grow new Generative AI driven products and tools.
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Position DescriptionQIAGEN Digital Insights is a leading provider of data analysis tools for biological research and development, including Ingenuity Pathway Analysis, OmicSoft, CLC Genomics Workbench, and the Biomedical Knowledgebase, as well as other knowledgebases and genomic variant interpretation for clinical decision support.
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We are seeking a self-driven and motivated Machine Learning Engineer with a specialized focus on building robust infrastructure tailored for handling large-scale inference workloads for AI and ML models.
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Graduate degree preferred in a quantitative discipline (e.g., computer engineering, computer science, economics, math, operations research). Client is looking for a highly energetic and collaborative Senior Data Scientist with experience building enterprise level GenAI applications, designed and developed MLOps pipelines.
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Fully remote first with in-person international team offsite as North and South America. We bring experience from Visa, Nubank, Mercado Livre, Goldman Sachs, Upstart, Silicon Valley Bank, Intuit, and Goldfinch.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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The Principal Data Scientist is a seasoned data science expert that will provide advice on strategy, team operations, data products, planning, execution, and will be hands-on.
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Our consumer innovations are commercialized under Seed with a mission to bring much-needed precision, efficacy, education and perspective-shifting science communication to the global category of probiotics.
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We are the leading API and machine learning analytics company for embedded OEM connected car data and have built deep partnerships with automotive manufacturers. The Motorq leadership team has interdisciplinary experience in automotive engineering, full-stack software engineering, data science, and SaaS startups.
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Design focus areas would include things like data architecture, microservice design, patterns for running async compute-heavy Machine Learning jobs. Innovative Drug Discovery Projects: Collaborate with scientists and ML experts to tackle challenges such as expanding molecular search to 100B+ scale, designing automated AI-medicinal-chemist workflows, and creating tools for real-time data analysis in drug design processes.
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Master's Degree in computer science, data science, or related degree or equivalent practical experience. Demonstrated previous professional experience developing modern data applications in the cloud, specifically AWS (RedShift, API-Gateway, S3, MSK.
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machine learning computer science data scientist remote jobs Title: data scientist in Little Ferry, Anoka, Minnesota
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