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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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With varying levels of expertise in software development, data, cloud, machine learning, artificial intelligence, UX design, web development, etc, we provide unparalleled opportunities to technology talent worldwide while reshaping industries, disrupting traditional business models, and creating new opportunities for innovation and growth.
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Additionally, MITS Teams are involved in research and development projects to include artificial intelligence (AI) and machine learning (ML). What you bring to the Team: Five years Network Engineering and/or System Administrator with experience in servers, storage devices, writing and editing configurations of switching and routing equipment.
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Domain : data engineering, demos, enablement, Customer Success, Support - a holistic view of taking a customer from day 0 throughout their customer lifecycle. Machine Learning Engineer London, United Kingdom.
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As the System Administrator you will support a major program advancing the state of the art in Machine Learning Operations (MLOps) supporting mission-focused big data analytics and predictive analytics.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture 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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If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you. Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT.
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Our Toronto location is a multidisciplinary office focusing on engineering and machine learning, next door to The Rivoli and just steps from the Horseshoe Tavern. Recursion is a clinical biotechnology company building the world's largest proprietary biological and chemical data atlas, industrializing drug discovery and development.
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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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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.
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The role also involves designing, developing, integrating, and deploying tools for Data Science and Machine Learning (ML) Research. The successful applicant will design and operate a framework for Machine Learning Operations (MLOps), advise on software engineering for ML, and ensure consistency with cloud architectural principles.
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Are you a TS/SCI cleared System Administrator who is interested in developing your skills and deepening your experience supporting the infrastructure, deployment, and maintenance of a machine translation triage application leveraging cutting-edge Artificial Intelligence (AI) / Machine Learning (ML), and Data Science (DS) capabilities.
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With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. Technical experience as a database administrator, backend engineer, or IT services within an enterprise or tech startup.
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Windows System Administrator. Creates POAM for applicable IAVAs∯*∯ Prepared documentation for SSP re-authorization, such as Contingency Plan, Change Management Plan, Privileged User Agreements, SPFs, and sent the ISSOs verbiage for entering information in the new tool that replaced most SPFs. Completed System Self-Tests for re-ATO. Responded to findings by the SCA. Worked with SCCM Team members to implement Group Policies for STIGs and Nessus audit files.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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