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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, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Python, LabVIEW, OpenGL and OpenCV libraries. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status.
$106,000 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We are looking for a Senior Machine Learning Operations Engineer who is passionate about all things data. Experience in statistics, data mining, or machine learning.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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The position's primary responsibilities include the strategic oversight of prospect, donor and gift data, the translation of business use cases into actionable reports and dashboards, oversight and development of the business intelligence environment, and the application of analytics to help build the prospect pipeline for a variety of fundraising initiatives, including principal gifts, major gifts, planned giving, annual giving, and events.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Develop and Enhance ML Models: You’ll design, build and deploy sophisticated machine learning models that improve our credit decisioning, fraud detection and other processes. Lead ML Projects from Ideation to Production: Take ownership of machine learning projects from the initial concept through to deployment and continuous improvement.
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These systems include, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH, wet sprinkler systems and pre-action sprinkler, network equipment, transmission media, cabling infrastructure, security hardware, and CCTV. Duties: Completion of CoreSite’s Data Center Operations Qualification Program to the tier level at which you are hired within the first nine (9) months of employment.
$80,000 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Statistical Analysis and Machine Learning: Strong foundation in statistical analysis methods and machine learning algorithms used in the analysis and interpretation of genetic data.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Professional experience with Maya / Blender and other digital content creation tools Professional experience with character dynamics and effects (clothing, hair, particles) Strong understanding of 3D skeletal systems and animation (retargeting, ik, mocap) 3+ years experience in games, film/video, AR/VR, or related fields 3+ years experience with programming/scripting languages such as C#, Python, C.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Strong skills in Data/Reporting tools e.g. SQL, Power BI. Python is strongly preferred. Knowledge and experience in data strategy and data transformation programs preferred.
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The Data Analyst is responsible for overall DTC systems master data quality and will work with appropriate partners to ensure proper controls and audits are in place to avoid data driven issues.
$63,000 - $80,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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You will collaborate with other world-class scientists, researchers, and engineers innovating on a range of technologies including: Artificial Intelligence & Machine Learning (AI/ML), Advanced Training & Simulation, Production Analytics, Autonomy, Electro-Optical/Infrared Sensing, Cybersecurity, Disruptive Computing & Networks, and High-Fidelity Digital Twin & Virtualization, and much more.
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Knowledge of key Azure services - Azure App Service, Azure Data Factory, Datalake, Databricks, Synapse Analytics, Purview, SQL PaaS, VM, Storage, Azure SQL, vNet, Redis Cache, Resource Manager, Azure Diagnostics/ OMS, Traffic Manager, Azure CDN, Azure Notification Hubs, Azure Identity and Access Management, Infrastructure as Code etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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While traditional aspects of data governance and some experience in Master Data Management (MDM) remain vital, the primary emphasis will be on the modern elements of data governance such as data quality, data observability, data lineage, data catalog, and business glossary.
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