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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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Bachelor’s or master’s degree in Computer Science , Information Systems, Engineering, Machine Learning, or related fields. Exposure to big data technologies such as Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, etc.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Working as a Center Director at Acelero Learning will give you the opportunity to ensure full implementation of all aspects of Acelero Learning’s early learning system, policies/procedures and tools, with the goal of supporting all children to achieve School Readiness Goals.
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These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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Our Philadelphia office is conveniently located in Center City Philadelphia, blocks away from City Hall and all SEPTA and PATCO rail lines. Collaboration with landscape architects, transportation engineers, and other technical experts in surveying, geotechnical engineering, structural engineering, and environmental sciences.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Working with our data science, customer success, finance, and sales teams, you will provide ad-hoc data analysis, deep dives, actionable data visualizations, and statistical modeling.
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Role to support on premise multi data center and cloud initiatives for IS and the company. Experienced with Cisco, HPe compute, VMware, Pure Storage and Telcom based technologies. Strong experience in architectural principles in the areas of on premise, cloud-native/hybrid-multi cloud architectures, container orchestration (kubernetes/OpenShift), microservices and operational best practices across one or more cloud offering Azure, AWS, GCPExperience supporting Azure cloud deployments is highly desired.
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Implement and maintain quality improvement activities related to Primary Care, in collaboration with the Lead Nurse Practitioner, the Practice Manager, the Center Director/Operations Director, and the Quality Manager.
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Cal Maritime also offers a Master of Science in Transportation and Engineering Management degree, as well as a number of extended learning programs and courses. Cal Maritime offers seven baccalaureate degrees in Business Administration, Global Studies and Maritime Affairs, Facilities Engineering Technology, Marine Engineering Technology, Mechanical Engineering, Marine Transportation, and Oceanography.
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Kimley-Horn is looking for Engineering graduates to join our Philadelphia, Pennsylvania (PA) office in 2024! An ABET accredited engineering degree (Bachelors or Masters) by Summer 2024 in one of the following majors:Civil and/or Environmental EngineeringMechanical, Electrical, Biological, Biosystems, Chemical, or Agricultural EngineeringEngineering Technology.
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The Sportsbook team here at Penn is responsible for working hand-in-hand with our Data Science, Engineering, and Data teams to support efficient development and deployment of models, forecasts, and simulations to help improve theScore Bet and ESPN Bet. Our team values creativity, collaboration, ingenuity, and ownership.
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data engineering center machine learning jobs in Philadelphia, PA
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