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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Working knowledge of modern pathology laboratory technologies, including assay development, application and interpretation. Experience of molecular pathology assay development (IHC, ISH, RNASeq, qPCR, LCM), data integration and analysis, image analysis and interpretation.
$382,140 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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2-3 years of work experience - (preferred experience in analyzing and modeling bio-sensor datasets or developing signal processing and machine learning models for health sensing and intervention.
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Experience with other tools (Excel Macros, pivot table, Power BI and modern PLM systems (Arena) is a plus. Emulation enables SoC verification and software bring-up and address the exploding verification requirements of SoC end-users, while prototyping enables early embedded software development and high-performance system validation prior to the final SoC. Synopsys provides superior quality along with best-in-class customer service and support.
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We are a multidisciplinary algorithmic trading team with expertise in machine learning, numerical optimization, software engineering, distributed systems, electricity markets, and trading. Mentor and develop a growing team of exceptional machine learning engineers into one of the leading electricity market forecasting teams.
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Define, prioritize, and facilitate the rollout of scalable, modern content acquisition and ingestion platform and operational workflows that support large-scale linear and on demand streaming of premium video across devices.
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The Interdisciplinary Scientist will develop and examine state-of-the-art quantum and classical machine learning models for Environmental Sustainability and Governance (ESG) applications.
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Basic Qualifications for a Principal Manufacturing Production Scheduler:Bachelor’s degree with minimum 6+ years directly related work experience in production control, production planning, or work center scheduling specifically for onsite manufacturing or in machine shop environment; Master's Degree with minimum 4+ years of experience.
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You have deep domain, and hands-on technical knowledge in modern DevOps (e.g. Atlassian) and testing tools/frameworks. You have a deep understanding of machine learning and data processing technologies.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex technologies (e.g., robotics; kinematics; structural engineering pertaining to complex dynamic systems; machine design; automated manufacturing machines, equipment, and related control systems; mechatronics; application of state-of-the-art machine learning (ML) and artificial intelligence (AI); optical systems, etc.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Modern development practice experience – e.g. Agile SCRUM, DevOps, SDLC. The position will be responsible for evaluating and creating cutting edge software and distributed computing infrastructure to support a range of application uses, ranging from machine learning for autonomous functions to fleet-data analysis empowering better mobility experiences for our customers.
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modern governance machine jobs Company: Wex in Menlo Park, CA
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