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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience with either Python, R or SQL.
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AND (5) Professional experience working or using tools such as: Regression Analysis, Statistical Analysis, Modeling, Machine Learning, Natural Language Processing, Time Series Forecasting, Data Visualization, TOAD, SAS, R, Python, Tableau, Power BI, and cloud analytics platforms sufficient to lead and conduct advanced analytics projects.
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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. Experience working with database management systems SQL or NoSQL, including database design, optimization, and querying using databases, such as MySQL, PostgreSQL or MongoDB.
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The Principal Machine Learning Engineer (PMLE) will serve as a key technical leader within US Foods’ Machine Learning Operations team and will help drive our advancements in AI and Generative AI. They will provide thought leadership across our Analytics & Data Science organization and work closely with ML Engineers, Data Scientists, and business leaders to design, develop, and deploy industry-leading AI solutions.
$210,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Programming languages may include—but are not limited to—SAS, Python, R, SQL, Java, or MATLAB. Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proactively integrate new technologies for more advanced analytics including and not limited to Power Flow, PowerApps, AI and Machine Learning. Power BI, Tableau, and SQL Reporting Services expertise preferred.
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Solutions Architecture certification, such as AWS CSA or Azure Solutions Architect), Cloud Machine Learning certification, such as AWS Machine Learning, Azure Data Scientist Associate, or Databricks Certified Machine Learning Professional.
$285,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with common DL packages such as Pytorch, Keras, Tensorflow Strong software development skills in languages such as Python, SQL, R, Scala, Java. Time series forecasting, anomaly detection, LLM tuning, using sound statistical and deep learning methods.
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Programming with SQL, Python and R. Knowledge, Skills and Abilities Develop (from scratch) machine learning and/or deep learning approaches and algorithms to solve clinical and business (including operations, supply chain, human resources, finance) problems.
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Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.) Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows.
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Experience with cloud platforms, including AWS and Azure, and cloud engineering practices and programming languages, including Python, SQL, Scala, or Java. Are you looking for an opportunity to develop a data platform that will have an impact on rapid exploitation of the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning (ML), and artificial intelligence (AI.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Use back-end technologies such as SQL-lite Database, ElasticSearch, Solr, Structured Query Language (SQL), and Server-Side Languages (Java, etc.) Experience with database design and development (e.g., SQL, NoSQL), and familiarity with search technologies (e.g., Elasticsearch, Solr.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning.
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Automating internal and external processes with robotic process automation (RPA), process mining, and/or machine learning solutions. Experience in one database/programming languages like SQL, Alteryx, R, SAS, Python, etc.
$97,100 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Modern distributed systems, including Hadoop or SQL, and Apache Spark. Predictive modeling and machine learning techniques. Leading team of data scientists in machine learning projects.
$243,700 a yearFull-timeExpandApply NowActive JobUpdated Today
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