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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies.
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Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
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Collaborate with Global HR operations, HR Data Science, HR Data Product to complete process mapping and process reengineering to recommend where Artificial Intelligence/Robotic Process Automation can be applied in mobility, payroll, etc Required qualifications, capabilities, and skills.
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Tasks and Responsibilities Design, develop, and maintain scalable, high-performance websites using AEM as a Cloud Service (AEMaaCS) Create/Migrate websites to AEM as Cloud using HTL/Sightly components and services, Editable templates, Dialogs, Design dialogs, OSGI bundles, AEM launches, Workflows, Localization features, and AEM DAM. Integrate websites with other systems like Adobe Analytics / Adobe Target / Salesforce CRM, Translation services, other Analytics tools.
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OR Bachelor’s degree in medical laboratory science; or a chemical, physical or biological science from an accredited institution with at least 4 years of experience in Laboratory Genetics, Cancer Genomics, Computational biology or a related field.
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Highly proficient in data management solutions (Oracle, SQL, Snowflake, SAS) and MS Excel with significant experience in manipulating large data sets. Master's degree in Business, Finance, or a similar quantitative discipline (finance, economics, econometrics, mathematics, statistics, engineering, computer science, business administration, etc.
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Relevant certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Cloud Professional Architect preferred. Hands-on experience with leading cloud platforms such as AWS, Azure, or Google Cloud Platform.
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We are a global leader in environmental consulting - made stronger with the recent acquisition of Golder - with world-class expertise in environmental, social and governance (ESG), climate resiliency & sustainability (CRS), and earth sciences.
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Knowledge of Autodesk products (or comparable products) is essential: Revit, AutoCAD, Fabrication (CADmep), Navisworks, AutoDesk Construction Cloud. If you’re ready for the next big step in your career and want a career full of fun and excitement and to be a part of a fast-paced growing company, then.
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Driven Development, Cloud Development, resiliency, Additional Technical Skills: Java, Abinitio, GKP(Cloud), CI/CD pipeline, GitHub. articles Lead Software Engineer -Dialogue(OpenText Exstream) Developer.
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Experience working in MS Office Suite (Office, Excel, and Powerpoint) and Google Cloud Applications (Google Docs, Sheets, Presentations). Supervise, coordinate and review the work of multiple development functions, consultants, technicians and others and be accountable for execution on complex, multi-disciplinary projects in the Central U.S. region (focusing on ERCOT, MISO, and SPP market areas) with remote, distributed teams.
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Our basic science and translational research domain expertise spans regenerative medicine, molecular medicine, biomaterials, molecular, cellular, tissue Engineering and biomedical micro/nano technology.
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Our clients include institutional leaders such as Cambridge University, Google, Samsung, Cleveland Clinic, Tencent, and Stanford University. We are a transdisciplinary, cross-practice focused firm with a deep portfolio of Civic & Cultural, Commercial, Corporate, Healthcare, Higher Education, Science and Technology, Sports, and Urban Environment projects.
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Data Warehousing (e.g., AWS Redshift, Google BigQuery) Apache Hadoop or Apache Spark (for big data processing) AWS, Google Cloud, or Azure (cloud platforms for scalable computing.
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