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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Familiarity with Azure services related to AI and ML, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
$180,000 - $250,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsible for designing and developing scalable UI solutions to facilitate the application of machine learning computational methods, and cloud resources to facilitate analysis such as drug data, natural language processing, molecular dynamics simulations, and image processing.
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Knowledge of Deep Learning and Machine Learning techniques, and experience in Machine Learning tools, techniques and programming (including LLM - Large Language Models) is a plus.
$160,000 - $170,000 a yearFull-timeRemoteExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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At least 8 years of experience in data science or machine learning, with a proven track record in building and deploying LLMs and chatbot systems. Senior Data Scientist / Machine Learning Subject Matter Expert (SME) with DHS Public Trust Clearance - Remote.
Full-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Solid knowledge of software engineering, machine learning, cybersecurity, and natural language processing; experience in quantum computing and cybersecurity is a plus but not necessary. We encourage everyone who is interested in quantum computing, machine learning, and cybersecurity to apply, especially candidates from historically underrepresented groups in STEM, e.g., Women, Blacks or African Americans, Hispanics or Latinos, and American Indians or Alaska Natives.
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Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Partnering with a cross-functional team, the Senior Characterization Engineer will work to develop tools and systems in support of ion trap design and analysis equipment sourcing, equipment install, driver development, scripting, experiment design, standard operating procedures (SOPs), and data analysis.
$123,191 - $161,289 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$101,400 - $183,300 a yearFull-timeExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This includes IIoT Platforms (Ignition/ThingWorx), Data Acquisition, Machine Learning, additive manufacturing, digitalization, augmented reality, etc. The ME-i4.0 (Manufacturing Engineer Industry 4.0) will be a key member of the Eaton Aerospace Industry 4.0 deployment team responsible to drive the implementation of the smart factories across Eaton Aerospace Group.
$105,000.03 - $154,000.05 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with machine learning methods and production deployment using Azure or AWS. The Director of Data Science will lead a team of Data Scientists responsible for utilizing advanced statistical tools, machine learning, and leading-edge technology for disseminating insights largely gathered from omnichannel customer data, product data, and process-generated data across Ahold Delhaize USA & our Great Local Brands.
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As part of a growing team this role will have the ability to leverage and work with new capabilities as they are deployed including deception infrastructure, continuous penetration testing, data loss prevention (DLP), and machine learning capabilities.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Certifications in AI/ML Technologies and Cloud platforms - AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, or Azure Solutions Architect.
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deployment machine learning jobs Title: platform engineer Company: Baird in Chevy Chase, MD
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