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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Familiar with a range of machine learning models; for example: Random Forest, GBM, XGboost, GLM/glmnet, Deep learning convolutional models, recurrent models, and dimensionality reduction methods, including PCA, SVD , Isomap.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Guide/perform data engineering to enable data science and machine learning programs and teams. Experience applying machine learning methods, and statistical analysis to business use cases.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
RemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus.
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Joining a team with leading expertise in targeted protein degradation, you will be instrumental in bringing the power of AI, machine learning, and other advanced computational methods to drug discovery in this exciting field.
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Additional preferred skills:· Matlab and Simulink experience,· Machine Learning experience,· Musical background,· Critical listening skills, experience with formal listening experiments,· Familiarity with psychoacoustic principles,· Experience with rapid prototyping environments.
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Familiarity with Machine Learning, Data Analytics, and Algorithms. 4 years of relevant experience, including object-oriented programming, electrical or embedded design, and software / firmware / electrical integration.
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Strong knowledge of machine learning algorithms, deep learning frameworks, and natural language processing techniques. Familiarity with cloud platforms such as AWS or Azure, and experience with big data frameworks like Apache Spark.
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Job Summary As an established Software Engineer, NSA has opportunity for you to contribute, learn, and grow in virtually any Computer Science focus area, including: Cybersecurity, High Performance Computing (HPC), Quantum Computing Research, Data Analytics, Machine Learning/Artificial Intelligence (ML/AI), Cryptology/Cryptography, and countless others.
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Understanding of enterprise data architecture, data integration best practices, artificial intelligence, and machine learning technologies. The RoleSupervise the design and development of data integration solutions for new IT platforms applying artificial intelligence and machine learning technologies.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
$150,000 - $250,000Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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