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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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You’ll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Minimum of 5 years of experience in machine learning and AI, with a focus on large language models and generative AI.Versioning control tools, Git, Gitlab, CICD tools, Dockers and KubernetesKnowledge of data science, machine learning & deep learning models and expertise in statisticsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open sources ML frameworks.
$95,625 - $159,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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As a key member of our interdisciplinary team, which includes Product Managers, UX Designers, Data Scientists, and Machine Learning Engineers, you will play a crucial role in bringing our GenAI projects from concept to reality, ensuring they are not only technologically advanced but also user-friendly and impactful.
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Lead the design and construction of the data center from the ground up, ensuring it meets the technical requirements for supporting GPU-intensive applications such as AI, machine learning, and high-performance computing (HPC.
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This is an exciting opportunity as we combine the best of physics-based modeling with data analytics and machine learning to accelerate drug discovery and bring benefit to patients.
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4-8 years of experience as machine learning engineer/data scientist. Aggregate huge amounts of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models for prediction and forecasting.
$121,500 - $224,880 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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Our organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. Understanding of MLOPs/Machine Learning Life Cycle and common machine learning frameworks: sklearn, tensorflow, pytorch etc.
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With applications in machine learning Data management skills (e.g. data modeling, data integrity QA/QC, querying, analysis) Data science programming/coding in Python and/or R including use of spatial libraries/packages (eg GeoPandas, Rasterio, GDAL/OGR, Terra.
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Expertise in statistical programming, data mining and machine learning tools (Python, SAS, R, etc.) Bachelor's Degree or equivalent Minimum 10 years of experience in one or a combination of the following: reporting, analytics, or modeling Minimum7 years of experience with SAS or SQL, or other data management, reporting and query tools (SharePoint, SAP, Business Objects, Tableau, Crystal reports/Dashboard, etc.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. As a Data Security Engineer, you will join a highly skilled and focused Global Security team, who provide excellent data protection services over the ADP Network platform and across ADP company assets.
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The Generative Unconstrained Intelligent Drug Engineering (GUIDE) project has an opening for a Senior bioengineer who is responsible for the efficient, smooth, and effective management of a team and simulation- and machine-learning-driven computational pipeline to redesign antibodies.
$191,220 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today
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