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When not working on machine learning models, Identify data; define metrics and analyze needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics. 0 years of related experience with a Ph. D. in Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA. · Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
$136,850 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are looking for a Senior Machine Learning Engineer to dive into a fast-growing startup developing models that improve data processing pipeline and our client deliver new features to the market with unmatched speed and accuracy.
$245,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Interns will apply analytics techniques on a very large set of diverse data from IoT connected assets, anomaly detection, business analytics, data visualization, and business marketing analytics.
$40.7 an hourFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Total 7+ years of hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling and deep learning techniques. Working knowledge (Hands-on) of Databricks, Python and Snowflake.
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Have a minimum of 2 years of data scientist and technical hands-on coding experience. Show advanced knowledge of Machine Learning Algorithms/AI techniques including Deep Learning Techniques (RNN, CNN, GAN, etc.
$150,000 a yearTemporaryRemoteExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Provide technical support to other engineers and data scientists in AI and Machine learning methodologies.
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Experience with machine learning, statistical modeling, predictive modeling, text mining, and topic modeling. We are looking for a Senior Data Scientist to join this team and focus on improving algorithm quality for our intelligence packages.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on experience with machine learning, data science, and AI frameworks like TensorFlow, PyTorch. Hands-on experience with Data Governance or data cataloging tools such as Purview, Collibra, Unity Catalog or Atlan.
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Develop solutions focused on data science and engineering using machine learning, deep learning algorithms, statistical concepts, data modeling, software development and visualizations.
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Experience with statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods. Master's degree in Computer Science, MIS, Engineering, Business, or a related field; or recent college graduate with hands-on, moderately complex internship projects of greater than 6 months.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.
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hands on machine learning data business jobs Company: Meta in United-states, District Of Columbia
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