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Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems. - Experience on improving core machine learning infrastructure (TensorFlow, Pytorch, and Jax.
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A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. Stay up to date with the latest advancements in machine learning and data science to ensure our solutions are cutting-edge and effective.
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Experience with data visualizations tools like Tableau, Qlik Sense, and/or open-source visualization libraries (Plotly, Seaborn, ggplot2) We provide Solution and Data Engineering services to ONI in the form of refactoring and system/data migration from aged on-premise platforms to cloud infrastructures through Agile delivery and a DevSecOps CI/CD software factory.
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Experience with reverse engineering, digital forensics (DFIR) or incident response, or machine learning models. No matter how sophisticated attacker behaviors become, Microsoft 365 Defender will help enterprises detect, investigate, and respond to advanced attacks and data breaches on their networks.
$112,000 - $238,600 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business.
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BIOVIA , a wholly owned subsidiary of DASSAULT SYSTEMES provides a sophisticated enterprise system of modeling, simulation, machine learning, laboratory, quality, and process execution and data management solutions.
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We are seeking a passionate data scientist to work together with the Peacock Science & Technology Fellow on critical Peacock Decision Science initiatives and to boost innovation and research in Machine Learning, Artificial Intelligence and Media Science.
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 1+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development, ideally in Photovoltaics, Power Engineering, or other renewable energy field.
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Minimum of 3 years of hands-on data analysis experience in full-time professional, data-heavy, and machine learning focused role. Experience developing and deploying machine learning and statistical models.
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We seek a collaborative and highly innovative computational scientist to join our Predictive Sciences team and develop predictive models using cutting-edge machine learning/artificial intelligence techniques to discover novel therapeutic opportunities.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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machine learning jobs Title: sr data scientist Company: Microsoft
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