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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Booz Allen's Digital Battlespace Team is seeking an experienced full-stack machine learning engineer to build innovative new applications and products in the defense market. 5+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutions.
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HQ-ed in McLean, VA and with a presence in New York, London, and Singapore, Pixalate is experiencing remarkable growth and looking to bring a Machine Learning Engineer onboard. As a Machine Learning Engineer, you will be responsible for designing and implementing Generative AI systems (LLMs/NLPs.
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Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm. As the Senior / Lead ML Tooling Software Engineer at Atlas AI, reporting to the Head of Engineering, you will be part of the core team defining, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists (DS) and Machine Learning Engineers (MLE) to implement Geospatial AI models.
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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques. Job Title: Data Engineer Interview: Virtual Job Duration: C2H Job Location: 100% Remote We are seeking a Data Engineer II to support the design development testing and deployment of software applications for a new program.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Experience with various tunneling methods such as drill and blast, Sequential Excavation Method (SEM), and Tunnel Boring Machine (TBM) Currently hiring a Hybrid Tunneling Engineer! Perform 3-D soil-structure interaction analysis, geotechnical analysis, and dynamic analysis using advanced finite element software.
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Deep and broad understanding of geotechnical and/or tunnel engineering principles, including advanced knowledge of soil and rock mechanics, structural engineering, and various tunnelling methods such as drill and blast, Sequential Excavation Method (SEM), and Tunnel Boring Machine (TBM.
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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. Center 3 (19075), United States of America, McLean, VirginiaSenior Lead Machine Learning Engineer.
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HLSL) Experience with machine learning and neural network frameworks on GPUs in Linux Basic knowledge of deep learning frameworks and algorithms 3rd party and subcontract staffing agencies are not eligible for partnership on this position.
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We are seeking an engineer with a technical background in one of the following disciplines: systems engineering, applied operations research, modeling and simulation, RF and satellite communications, artificial intelligence and machine learning (AI/ML), or applied data analytics.
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Experience with Machine Learning Frameworks (e.g. PyTorch, Keras, Tensorflow, XGBoost). Have vision and passion to make Machine Learning development easier for ML Practitioners. Collaborate with Applied Scientists, Machine Learning Engineers and cross functional teams in crafting and implementing your technical vision.
$297,700 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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C#, lead, matlab, programming, senior software engineer, software architect. Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms.
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The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
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Preferred Qualifications for the Cyber Engineer:·Experience with cloud security, including AWS, Azure, or GCP.·Knowledge of big data analytics, machine learning, and anomaly detection. Zachary Piper Solutions is seeking a strong Cyber Engineer to join a long-term federal program, supporting the Defense Intelligence Agency to manage and maintain DoD Assured Compliance Assessment Solution (ACAS.
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machine engineer jobs in Mclean, VA
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