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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
$103,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We design, build, implement, and manage advanced analytics and visualization solutions that leverage our deep expertise in Analytics Process Automation (APA), Machine Learning (ML), Artificial Intelligence (AI), and Deep Learning (DL) to enable our clients to achieve success through robust, durable solutions.
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As a machine learning engineer on our national security team, you'll train, test, deploy, and maintain models that learn from data. You'll be part of a large community of machine learning engineers across the firm and collaborate with analysts, data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to real-world problems, processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical te chn ologies into efficient user experiences.
$96,600 - $220,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.
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Model Deployment: Collaborate with data scientists and software engineers to deploy machine learning models, ensuring optimal performance, resource utilization, and cost tracking and savings.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Data-driven, evidence-based learning and instructional models, including SESI’s own positive behavioral interventions and support (PBIS) framework called CASE. SESI partners with school districts to run classrooms, on-site, within district boundaries and standalone schools that meet the academic, behavioral, and social-emotional needs of special and alternative education students with Autism Spectrum Disorders, Emotional Disabilities, Learning Disabilities, and other challenges.
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Experience working and modeling financial data sets and supporting source technologies (ERP/General Ledger systems, EPM/CPM systems such as Oracle OneStream) is a plus. Work with Microsoft Azure data tools and technologies including Azure Data Factory, Logic Apps, SQL Server, Synapse Analytics, Azure DevOps, and Key Vault.
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You'll grow your skills in data science, AI, machine learning, operationalization, predictive modeling, and more. As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$75,600 - $172,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Design, Automation, machine design, solildworks, inventor, 3d. Autodesk Inventor experience, especially in sheet metal fabrication. Build in-depth understanding of Intralox Activated Roller Belt Technology.
$48,000 - $73,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You are studying Electrical Engineering, Machine Learning, Computer Science, Mechanical Engineering, Environmental Engineering, Data Analytics, or a similar subject and are currently enrolled in a master's program.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Install, Administer, Upgrade and Manage Informatica MDM platform - master data management (previously known as Siperian) including application servers for cluster and high availability needs. Informatica BDM Admin (Big Data Management) / MDM(Master data management) Admin.
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Use digital workflows and tools and harness the power of robotic process automation, machine learning, and artificial intelligence. Create Global learning and development opportunities, where the employee will identify opportunities and propose solutions on the automation of non-value-add processes and align with technical experts on IT solutions for improvement projects.
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machine learning data mining jobs Title: machine learning in Columbia, MD
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Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
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"Nothing we do is more important than hiring and developing people."
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.