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Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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BRMi is seeking a Senior Data Scientist to provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Experience with artificial intelligence, large language models, machine learning, and natural language processing techniques. Knowledge of data management practices across the full data life cycle, such as data strategy, requirements, design and development, data science, data governance, metadata management, data quality, business intelligence, and data security & privacy.
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Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop, and experience performing source to target data mapping. Demonstrated expertise in one or more areas of data management, data science, and/or data engineering.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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Amazon has been investing in Machine Learning for decades, and by joining AWS you’ll join a community of scientists and engineers developing leading edge solutions for enterprise-scale data science applications.
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2+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing, and LLM frameworks. You'll collaborate with a team of LLM, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions.
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Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP) Skilled in documentation and database reporting for the purposes of analysis, data discovery, and decision-making with the use of relevant software such as Crystal Reports, Excel, or SSRS.
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These engagements will focus on Real Time and Batch-based Big Data processing, integration and governance, Business Intelligence, Visualizations, data science and Machine Learning.
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A certification such as Red Hat Certified Engineer, Puppet Certified Professional, AWS Certified Solution Architect, Certified Kubernetes Administrator (CKA), or Docker Certified Associate (DCA.
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One or more certifications: OCI Associate Architect, OCI Architect Professional, AWS Certifications: AWS Solutions Architect, AWS Security Specialist, Microsoft Certified: Azure Security Engineer, Associate, Microsoft Certified: Azure Solutions Architect, GCP Cloud Architect Certification, Oracle Database, CompTIA Security +, ISC/2 CISSP.
$137,900 - $232,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Integrate and leverage open-source tools to efficiently orchestrate complex digital signal processing algorithms, comprehensively visualize processing results and system configuration, and or aggregate processing results for further innovative analysis and data discovery.
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Capture and share best-practice knowledge amongst the worldwide AWS solution architect community. In this technical role focusing on Data Analytics and ML, you will architect enterprise-grade AWS solutions, own the technical relationships and deliverables for a GSI, develop and execute multi-day workshops, lead white boarding sessions, author white papers and blog posts, and respond to complex technical inquiries including RFPs. You will partner with Sales, Business Development and the Data & Analytics Service teams to enable partner’s Data & Analytics services adoption.
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machine learning natural language processing data solution architect jobs in Reston, VA
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