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Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
$100,200 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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The Lead Machine Learning Engineer will lead the design, recommendation & implementation of platform, infrastructure and best MLOps/LLMOps practices to support all data science teams and projects in US Segment Advanced Analytics.
$120,610 - $223,990 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7 years of related experience with a Masters' degree in Military Operational Science, Intelligence Studies, Aerospace Engineering, Computer Engineering, Computer Science, Electrical Engineering, Systems Engineering, Physics, Mathematics, or related field.
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Data Science | Machine Learning | Statistics | Mathematics | Biomechanics | Bioengineering | Athletics | Sports | Python | Artificial Intelligence | Computer Vision | Imaging | Images | Video | Stakeholder Management | Technical Leadership.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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The candidate will join a multi-disciplinary team of scientists and engineers and work on a full stack of developing cutting edge Computer Vision (CV) and Machine Learning (ML) methods based on data from a variety of sensors.
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Broad understanding of modern data science methods, particularly machine learning, in advancing drug discovery (e.g., predictive modeling, generative modeling, retrosynthesis prediction, active learning, explainable ML.
$184,800 - $290,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Requirements: Must have a Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2 years of experience as a Software Engineering Intern, Application Engineer Intern, or related.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Recommends updates through an inclusion, diversity, equity and access (IDEA) lens to program initiatives and Tobacco Review Committee decisions and priorities, including the Strategic Plan Goals.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Bachelor’s degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 6+ years of professional experience in data science/machine learning.
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Educational Requirements:Bachelor's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required.
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PhD or equivalent in a data science field, including these most commonly: Statistics, Computer Science, Machine Learning, Operations Research, Engineering, and Mathematics.
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machine learning computer science engineering equity and inclusion jobs Title: engineering in Anoka, Minnesota
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