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Qualifications: Bachelor’s degree in computer science, Engineering, or a related field Proven experience as a data engineer, with a strong focus on data migration, ETL, and data integration.
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Js for User Interface (UI) developmentKnowledge of Python, Spark, Hadoop, Big data, and science for anomaly detection using machine learning and statistical risk modelsExtensive experience with databases (including Oracle or Structured Query Language (SQL.
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Preferred Qualifications: Demonstrated experience in Data Engineering / Data science / AnalyticsGood understanding of version control tools like git & Experience building CI/ CD pipelines.
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The most successful candidates have a strong background in computer science, with experience in software architecture, algorithms, data structures, design patterns, API design, UX design, and/or test-driven development.
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Qualifications and Skills: B.S. degree in Environmental/Mechanical/Chemical Engineering, Chemistry, Environmental Science, or a related field. Data processing skills in R, MATLAB or Python.
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Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.
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Bachelor’s degree in Software Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related field of study with 5+ years of experience or Masters with 3+ years. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change.
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REQUIREMENTS FOR THE DATABASE ARCHITECT & ENGINEER Bachelor's Degree from an accredited institution, in a relevant field in Computer Science (programming concepts, software development, and/or database design) required.
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5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry. Strong knowledge of data analytics, data science, and ETL processes.
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Data science, nlp, indexing, semantic search, conversational search, langchain, Generative AI, Large language model, Sql, aws, algorithm, artificial intelligence, Cloud, Kubernetes, Python, Machine learning, cloud computing.
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Minimum 5 years of senior-level Data Science and Machine Learning Engineering experience in a data-driven information environment, designing and implementing analytic/data systems, ideally in a AAA video gaming or streaming entertainment context and at a similar scale.
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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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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. The decision scientist and analytics engineer supports the full end to end data journey from acquisition, to analysis to recommending business action.
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Advanced degree in Biostatistics, Epidemiology, Data Science, Statistics, or related field. Bachelor’s degree in Biostatistics, Epidemiology, Data Science, Statistics, or related field.
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data science jobs Title: engineer in Raleigh, NC
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