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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in productionizing Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Operations Data Engineer II you will develop platform tooling, deploy data science models to production and monitor production performance. You will support Machine Learning projects end-to-end and develop platform tooling for the Data Science team.
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Bachelor's or higher degree in Computer Science, Statistics, Mathematics, Data Science, and/or related quantitative degree is preferred from an accredited institution. Minimum 3 years of hands-on experience implementing AI/ML solutions and platform tooling for Data Science.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Lead development of mixed signal circuits (microcontroller/FPGA/power conversion/analog) for embedded controllers to serve mission critical industrial and life science applications. Expertise in circuit simulation, schematic capture, BOM creation, and PCB layouts using OrCAD (with EDM) or similar CAD software with integrated design data management capabilities.
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Integration of Governance Tool with Snowflake, Informatica MDM, Azure Data Services such as Azure Data Lake, Azure SQL Server, Azure Data Factory, etc. Installation, configuration and setting up of Data Governance tools such as Collibra, Informatica Axon, or Alation.
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Degree in Arboriculture, Forestry, Horticulture, Turfgrass, Environmental Science, Plant Science, Outdoor Recreation, Agriculture or a related field OR prior experience working in landscaping or horticulture is preferred but not required.
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Bachelor's of Science degree in environmental science, geology, engineering, or a related field and 5 years of environmental related experience; or Professional Engineer or Professional Geologist with 3 years relevant experience; or 10 years of environmental related experienced and professional registration as listed below.
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She/he will be responsible for establishing an enterprise data strategy, enable enterprise scale data science and AI. The VP will also contribute to Humana's digital journey by cultivating a data rich environment, fortified by best practices in data management.
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A Bachelor’s Degree/MBA focused in Statistics, Research, Psychology, Cognitive Science, Anthropology, Human Factors, HCI/CS, Marketing, General Management, Architecture, Sustainability or Engineering is a plus.
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Utilize data from Achievement First's interim assessments to drive instruction and intervention. Middle Grades Science Teacher (11303) Middle Grades Science Teacher Elementary Extension.
$94,366 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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USPTO admission and an undergraduate degree in Electrical Engineering or Computer Science, or substantial experience litigating matters in these or similar disciplines, are highly desired. Location: Albany, NY; Boston, MA; Buffalo, NY; Chicago, IL; Jericho, NY; Los Angeles, CA; Manchester, NH; New York, NY; Providence, RI; Rochester, NY; San Francisco, CA; Washington, DC; Remote, United States.
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The Methods Analyst I will be responsible for reviewing reinsurance, insurance program structure, policy terms & conditions, and system data for accuracy and validating the data for use in natural catastrophe modeling software.
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data science jobs Title: san Company: Feed in Seekonk, MA
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