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In this role, you will leverage your expertise in Python, Natural Language Processing (NLP) techniques, algorithms and statistics, as well as your familiarity with US Department of Defense mission needs, to deploy, optimize, and evaluate innovative machine learning and algorithmic solutions in client environments.
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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 Yesterday - UpvoteDownvoteShare Job
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We are seeking a Senior Machine Learning Engineer who is an expert in Optical Character Recognition (OCR), Natural Language Processing (NLP), Large Language Models (LLMs), and other deep learning models.
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Use a variety of statistical programming languages and database software (such as SAS, R, Python, JavaScript, Alteryx and SQL) as well as other quantitative analysis tools and techniques such as machine learning/artificial intelligence (AI/ML) models/tools and text analytics tools.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. 2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
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Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. A USPTO-registered Attorney or Patent Agent with a degree in Computer Science, Computer Engineering, or a closely related field.
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Drive for prototype and expansion of the EAS application toolset to discover value in new technologies such as low code application development, RPA, machine learning, and artificial intelligence.
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Further support includes migration of MDA capabilities to the cloud, and the application of artificial intelligence/machine learning (AI/ML) tools to existing MDA data sets. Solid hands-on ability to update/patch different Exadata machine components.
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They also use and advise on such tools as machine learning, natural language processing, web scraping, big data platforms, and data visualization techniques and their application to relevant public policy issues.
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Familiarity with one or more of the following domains: digital forensics, data analytics and visualization, data science, AI and machine learning, information governance, and global data privacy laws.
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The ideal candidate must possess broad-based knowledge of rail vehicle mechanical engineering (machine design, kinematics and vehicle dynamics, vibration control, stress analysis, materials, pneumatics, hydraulics, brakes, HVAC, door systems, and equipment reliability.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Software Engineering, Intelligence Community, Java EE, Amazon AWS Consulting Partner, GSA Schedule, Microsoft Partner, Cross Domain Solutions, Business Automation, Business Intelligence, Artificial Intelligence & Machine Learning, Content Management, and Integrated Data Management.
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machine job Title: expert Company: Infor in Washington, DC
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