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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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Basic Qualification: Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study 12 years working experience Familiarity with at least one of the following Java Virtual Machine (JVM) languages: Java, Scala, or Kotlin.
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At least a bachelor's degree in physics, computer science, electrical engineering, mechanical engineering, materials engineering, or related fields. Develop design tools, data analysis software, and algorithms using Python or similar.
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ResponsibilitiesAs a Senior Software Engineer (Full-Stack) on our Search team, you will: Collaborate with Product Manager, Designer, User Researcher, Agile Delivery Lead, Data Scientists, Metadata Librarians, and Engineering team members to explore, shape, and develop new Search & Discover product experiences from ideation to implementation at scale.
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Forms part of the Analytics Open Hub Global Data and Analytics team to deliver the strategy, execute plans, providing specific and deep expertise in data design and modelling, data warehousing, big data platforms and data engineering.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Engineers in the group can be found wearing any number of hats: from software engineer, reliability engineer to developer advocate and evangelist. As a Lead Software Engineer on the Global Technology Developer Experience and Platforms team, you will partner with product owners, tech leads, designers, engineers and delivery professionals to develop reference applications for commonly used patterns within Prudential.
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The ideal candidate will have experience with Python, Data Engineering, AWS, and databricks. Leverage your data engineering expertise to integrate data pipelines, ETL processes, and analytics workflows within the AWS ecosystem.
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The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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The thermal engineer troubleshoots thermal and/or airflow issues in new and existing product lines using empirical data and commercial CFD software. The Sr. Thermal engineer plays an active role in developing thermal components using 3D CAD software and advanced engineering analysis.
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
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data science software engineer engineering deep learning jobs Title: engineer in Kearny, NJ
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