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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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We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide.
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Job Description: The artificial intelligence platform architect will lead the development of autonomous driving software solutions with modular design and integrated platform to handle machine learning and deep learning simulation systems.
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The AI Machine Learning Scientist is in charge of using Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement. Requires a Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.
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Far Ridgeline Engagements LLC, a Qinetiq US company, is seeking an All-Source Intelligence Analyst in Elkridge, MD who is able to perform analysis of specialized and/or technical data, make assessments and recommendations, and prepare documentation related to associated data and analysis.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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The successful candidate will perform integrative analysis of diverse data types, develop and utilize next generation sequencing (NGS) and other analytical pipelines, and collaborate with internal and external investigators for interpretation of high dimensional data sets to inform biomarker hypotheses, target discovery, and other biological queries.
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Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes). Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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NSA Research Scientists are actively expanding the boundaries of what can be accomplished with artificial intelligence, machine learning, human-machine teaming, software reverse engineering, data science, novel architectures, cyber security, high performance computing, and computational linguistics.
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Machinery includes a surface grinder, manual and CNC lathes, CNC milling machine and band and abrasive saws. Our work is critical to the integrity and safety of industrial firms, including petroleum refinery, pipeline, power generation, pulp & paper, mining, pharmaceutical, aerospace and automotive industries.
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As a yacht broker at Next Generation Yachting in Sunset Harbour Yacht Club and Marina, you will play a crucial role in driving sales and representing our brand in the yacht brokerage market.
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This role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks such as Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments and also being part of customer success teams.
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Experience and passion for Data Science - machine learning, deep learning, and NLP (LLM) A foundation in machine learning, deep learning, and NLP (LLM) modeling.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The Machine Learning Engineer is responsible for proposing, planning, executing, and analyzing research and development machine learning projects related to the field of advanced manufacturing artificial intelligence.
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machine learning source next generation jobs Company: Careerbuilder
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