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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Need deep knowledge of statistics, predictive modeling, machine learning, data mining, feature engineering. Qualifications Bachelor’s degreePhD desiredMaster’s at least required in statistics, data science, economics, psychology (research / experimental) or other heavy quant focused social or other science (biometrics.
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Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention strategies Identifying new sources of data (internal or vendor-provided) that can enrich our existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed.
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Develops and deploys solutions using data analysis, data mining, optimization tools, machine learning techniques and statistics. You'll serve as a catalyst in the evolution of the regional segment’s business intelligence capabilities and champion of self-serve analytics capabilities while also being a steward for internal and external data sources, supporting data governance and the continuous improvement of data availability and data quality.
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Trellix’s security experts, along with an extensive partner ecosystem, accelerate technology innovation through machine learning and automation to empower over 40,000 business and government customers.
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As Artificial Intelligence Marketing Technology Manager, you will be the technological cornerstone of our marketing & experience team, driving innovation and efficiency through the strategic use of generative AI, machine learning, and predictive analytics.
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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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Provides senior level project/application expertise with respect to managing and supporting data analytics, data aggregation, dataset creation, star schema management, artificial intelligence support and machine learning.
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Advising on complex legal issues related to cloud computing, machine learning and artificial intelligence, data rights, Health IT, open-source software and compliance with evolving privacy and information security laws and regulations as they pertain to vendor transactions.
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Understanding of Machine learning, data modeling and perform advanced analytics. 3 - 5 years' experience working with the following: Senior level expertise in at least one of the following (in order of desirability): F5 (SSLO, ASM, ATM), McAfee Web Gateway, McAfee DLP, FireEye (NX/VX/CM.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience creating messaging materials, and working collaboratively with cross-functional groups including Engineering, Investigations, Legal, Public Policy, Marketing, and Data Science.
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Job Description: Data Engineer Tech stack: Python, PySpark, AWS Responsibilities: Development and maintenance of data pipelines using Python, PySpark and various AWS services. Job Description: Data Engineer Tech stack: Python, PySpark, AWS Responsibilities: Development and maintenance of data pipelines using Python, PySpark and various AWS services.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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machine learning data jobs in Richmond, VA
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