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The Software Engineer-Master Data creates high-quality, innovative, and fully functional software solutions that adheres to coding standards and technical design. The Software Engineer-Master Data will have the ability to take on smaller projects from start to finish, work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors and trace issues to their source.
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Assist in preparing the organization’s annual applications to the CDFI Fund and the annual reporting submission in its Award Management Information System (AMIS)Creatively identify ways to further strengthen and improve asset management and compliance systemsComplete special projects and assignments as neededCoordinate with other CSH teams ( Community Investment, Data & Analytics) on cross-team sharing of CDFI data.
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Preferred QualificationsMajor(s): Business, Computer Forensics, Cybersecurity, Data Analytics/Science, Digital Forensics, Economics, Information Technology Management, History, Art History, Journalism, Investigative Journalism, Law, Pre-Law, International Law, Library Science, Legal Studies, Linguistics, Management Information Systems, Philosophy, Political Science, Research & Analysis/Legal Research, Risk Management.
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Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts. TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred. Bachelor’s Degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science or related technical field or equivalent; Master’s Degree preferred.
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Accounting & Technology, Accounting, Banking and Finance, Business Application Programming, Computer and Information Science, Computer and Information Science & Accounting, Computer Applications, Computer Engineering, Computer Management, Computer Programming, Computer Systems Analysis & Accounting, Economics, Information Technology, Information Technology & Accounting, Management Information Systems, Management of Technology, Statistics, Systems Engineering.
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IT Support Engineer (ABM - Apple Business Manager) - Onsite -Chicago, IL. In support of their needs, we are looking for an IT Support Engineer. Job Title: IT Support Engineer. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates.
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Bachelors degree in medical laboratory science/medical technology from an accredited college or university AND national certification (ASCP, AMT etc. For consideration, applicants must have either: - Associates degree in a laboratory science or medical laboratory technology from an accredited institution AND national certification (ASCP, AMT etc.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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SRE / DevOps role supporting NextGen Platforms built around Big Data Technologies (Docker-Container, Podman, Jupyter Notebook, Hadoop, Spark, Kafka, Impala, HBase, Ansible, Kubernetes, OpenShift and many more.
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As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization.
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Candidates should have a BS, MS, or PhD in an Engineering or Science discipline from a top-tier institution, with a focus on areas such as Machine Learning, Deep Learning, Deep Reinforcement Learning, Natural Language Processing, Time Series Prediction, Signal Processing, Backtesting, Portfolio Optimization.
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Our TRC Supervisors assist clients with identifying and prioritizing information technology risk and leveraging process and controls to reduce risk exposure. Our Global Banking consulting practice works with leading banking institutions who depend upon effective risk management, internal audit, and governance over their enterprise-wide information technology programs to achieve their business objectives, comply with evolving regulatory demands, and meet the needs of internal and external stakeholders.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.
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As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Lead Data Engineer. At least 2 years of experience in big data technologies.
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big data science information technology engineer jobs in Chicago, IL
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