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Participating in INT Functional Management meetings related to Open-source intelligence (OSINT), Measurement and Signature Intelligence (MASINT), and Human Intelligence (HUMINT), as well as ISR Collection, ISR capabilities and ISR Data Integration tasks related to IC and International partnership.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This team has tremendous learning opportunities including data-centric AI, deployment, and open source community contribution. Familiarity with open source LLM ecosystem such as Hugging Face and LangChain.
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IP, Ethernet, and wireless communications,open source networking technologies, Open source Linux development, GNU Radio, virtualization, Docker, scripting, git, testing and automation, Machine learning, data analysis, compilers, Cassandra, Kafka, MongoDB, Network Modeling, Simulation Tools, Python, Bash, perl, Networking Certifications from Cisco and/or Juniper.
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The candidate will be working with the following state of art technologies; Solr, Lucene, Natural Language Processing, Machine Learning, Linux, Groovy, Python, Splunk, Prometheus, Grafana, DevSecOps, Jenkins, Maven, Gitlab, Nexus, Ansible, TDD, BDD, JMeter, Selenium, and other open source frameworks.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business.
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Skilled with the use of open-source tools, cloud computing, machine learning, and data visualization. Experience in a data analytics, open-source tools, cloud computing, machine learning and data visualization.
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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. 3+ years of experience in machine learning, data analysis, or a related field.
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Expertise in Statistics, Machine Learning, Deep Learning, NLP, and Computer Vision (optional). You will work closely with product stakeholders to develop "intelligent" features and deliver outstanding business outcomes leveraging Machine Learning, Deep Learning, NLP and CV.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
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Massachusetts General Hospital (MGH) Department of Neurology and Harvard Medical School (HMS) is seeking a signal processing and machine learning post-doctoral fellow for a full-time position in the Gupta Lab. The fellow will be applying diverse methodologies to uncover information in multimodal data collected from individuals with common and rare neurodegenerative diseases.
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Leverage modern ML/NLP methodologies (e.g., deep learning), computing hardware (e.g., GPUs), cloud infrastructure (AWS/Azure), open-source modeling frameworks (e.g., TensorFlow, Keras, PyTorch, XGBoost.
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Continuously monitor and evaluate the performance of machine learning models, making adjustments as necessary. Strong knowledge of machine learning algorithms and data analysis techniques.
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machine learning open source jobs Title: technical program manager
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