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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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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.
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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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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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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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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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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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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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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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The engineer candidate will support the DSOP software ecosystem within Amazon Web Services (AWS) impact levels 5, 6, and 6 Special Access Program (SAP) cloud environments, Azure Stack impact levels 6 and 6 SAP if applicable, and additional impact levels as needed.
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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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That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.
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The ideal candidate should have a wide range of experience in systems integration, software development, signal and image processing, machine learning or artificial intelligence, modeling and simulation, analytics, networking, RF communications, and cloud technologies.
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