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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Center 1 (19052), United States of America, McLean, VirginiaLead Software Engineer, Full Stack (JavaScript, Typescript, Node.js.
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Keywords: Sr Capture Manager, Business development, Program Manager, Leadership, Machine Learning, win, capture, proposals, Virginia IC, Intel Community, Intelligence Community, growth, cyber, developer, development, architecture, framework, Java Developer, Java Development, Software engineer, HPC, high performance computing, software tester, system integration engineer, systems engineer.
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The Leidos has an exciting opening for you, as a Cloud Engineer, to play a critical role with design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing. We are looking for a Senior Machine Learning Engineer, who can drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of ad serving on Amazon search.
$151,300 - $261,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Create detailed mobile software development documentation and assist in assigning tasks to team members.
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Black Canyon Consulting (BCC) is searching for a Sr. Software Developer in Bioinformatics and Big Data to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health.
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6+ years of professional experience in data software development, programming languages and developing with big data technologies. Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Terraform, Docker and Kubernetes, and a variety of Azure tools and services to build an Event Driven Big Data Streaming platform for an ELT data pipeline.
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Experience with big data technologies & tools like Spark, Databricks, EMR. E xperience working in a modern, agile software team with version control & project management tools ( e.g., Git, SVN, Jira, Basecamp.
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Collaborate with Data Scientists and business partners to deploy machine learning models in production (preferred). Looking for a Data Engineer with SQL, Python, ADF, Databricks, Kafka and ideally Snowflake experience to work 100% remote.
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Apply statistical / machine learning approaches to analyze large-scale molecular data (transcriptomics, proteomics, etc.) Experience with implementation of modeling and simulation (either PDE-based fluid dynamics, ODE-based signaling models, or agent-based modeling) or bioinformatics / machine learning skills (project-dependent.
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Capable of applying the latest technologies and methodologies in data mining, machine learning, and predictive analytics to correlate disparate data sets and events, and derive value.
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Proficiency with word processing, spreadsheet, desktop publishing, and CAD/CAFM, IWMS software including MS Office Suite (MS Project, PowerPoint, Excel, MS Teams, and SharePoint). The purpose of this position is to provide space planning, data analysis, reporting, CAD/CAFM support in maintaining facilities AutoCAD drawing files up to current conditions and assist in the development, customization, and maintenance of CAFM/IWMS tools.
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The ML/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
$112,000 - $179,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience and proficiency implementing frontend and backend services for cloud-native software products and solutions such as VueJS, JavaScript, Python, Django, Flask, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, and/or the MongoDB NoSQL database service.
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