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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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We're seeking data scientists who have domain knowledge or an interest in Big Data, machine learning, natural language processing, image processing and an interest to apply it to economic and financial applications.
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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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Programming Languages: Java, Scala or Python, Bash. Processing Tools: Elasticsearch, YARN, Spark, Nifi and/or Docker. Processing Tools: Presto/Trino, MapReduce, Hive. Programming Languages: Java, Scala or Python, Bash.
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Full-stack machine learning engineer. 5+ years of experience in software development and machine learning. Experience with back-end development using server-side languages and frameworks, such as Node.js, Python (Django/Flask), or Java (Spring Boot), including experience with RESTful APIs and microservice architectures.
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But is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.
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SAIC s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, SecDevOps, cloud network operations, and secure communications.
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Today, it has branched out an extensive array of solutions ranging from Digital Transformation solutions, Digital process automation, AI/Machine learning, Digital development (MS Power platform, salesforce) Test Automation, Cloud/ IT Workload Optimization, Infrastructure Management Services, Zillion ERP Solutions, Cybersecurity solutions, dotZ- Zillion's Internet Of Things (IoT) Platform, Staffing Solutions, and Payroll Solutions.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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Keywords: Sr Capture Manager, Business development, Program Manager, Leadership, Machine Learning, win, capture, proposals, Virginia IC, Intel Community, Intelligence Community, growth, cyber, developer, development, architecture, framework, Java Developer, Java Development, Software engineer, HPC, high performance computing, software tester, system integration engineer, systems engineer.
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) Machine learning using k-NN, naive bayes, decision trees, SVM experience required.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning EngineerRemote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer.
$201,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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, and Monte Carlo methods/modeling.
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Experience using ML and data science packages such as PyTorch, TensorFlow, or scikit-learn and developing and training machine learning models; Programming knowledge in some of the following languages: Python, SQL, Java.
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Strong proficiency in machine learning, deep learning, and data science concepts. We provide primary contract support in multiple Technology Services including Software Development, Cyber Security, Data Analytics, Cloud Solutions, Machine Learning and Business Services including Program and Financial Management, Business Process Re-engineering and Quality Assurance.
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