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As a Data Scientist, you will provide support for the customer's machine learning model development and deployment efforts specific to its cyber focus and targets. As a Data Scientist, you will provide support for the customer's machine learning model development and deployment efforts specific to its cyber focus and targets.
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Understand the data tables, data architecture and work closely with data engineering team and business owners to determine the best way to extract and present data (BI reporting, machine learning with front-end user interface, etc.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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The hire will have opportunities for interdisciplinary collaboration via broad research initiatives and centers, including the Center for Deep Learning , Center for Engineering and Health , Optimization and Statistical Learning in IEMS, and Center for Engineering Sustainability and Resilience , Institute for Data, Econometrics, Algorithms, and Learning , Institute on Complex Systems , Transportation Center in the McCormick School of Engineering.
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We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
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2 years of AIOps experience - Automating (MLP, Deep Learning, or LLM Models) via cloud data engineering pipelines within Azure Synapse and Databricks. For this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground.
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As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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Support GDIT’s FedCiv business areas by developing solutions to deliver capabilities, including Data Science and Machine Learning. 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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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions.
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The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
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Work with strategic analytics, data science, and data engineering personnel to evaluate and implement emerging solutions such as machine learning, artificial intelligence, and predictive analytics.
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Amida is currently looking for a Data Scientist to join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. “Big Data.
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hands on machine learning data engineering business jobs Company: Meta in United-states, District Of Columbia
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