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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies as well as understanding deep learning frameworks such as TensorFlow or PyTorch.
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Job Description BAE Systems Intelligence & Security division is seeking an Open-Source Intelligence Analyst to join our team in Quantico, VA in support of a Maritime effort for (MAGIC) Marine Corps Intelligence Activity Analysis, Geospatial Imagery, and Counterintelligence Support Services program.
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We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on “data mechanics.
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Primary Responsibilities: Work as part of a cross-functional engineering team with Scientists, Mechanical and Software Engineers, and Test Engineers to develop next-generation X-ray based security equipment.
$146,875 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
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Plan and coordinate the collection, processing, analysis, and dissemination of open-source intelligence as requested by investigative and protective intelligence operations, including operations in support of large-scale, multi-national events domestically and abroad.
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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Conduct open-source intelligence (OSINT) and internet research to support investigative mattersPrioritize multiple tasks and responsibilities in a fast-paced environment while maintaining positive customer/client relations.
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The search is for candidates in optimization with applications in machine learning & data science, computational social science, healthcare, or logistics & operations. IEMS offers an undergraduate degree and a machine learning & data science minor, a PhD program, and master's degrees in machine learning & data science and in engineering management.
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientific leader interested in artificial intelligence and machine learning for molecular design. Ph. D. with 8+ years of relevant fields with a focus in Artificial Intelligence or Machine Learning development and applications to molecular design.
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Minimum of 5 years of experience in machine learning and AI, with a focus on large language models and generative AI.Versioning control tools, Git, Gitlab, CICD tools, Dockers and KubernetesKnowledge of data science, machine learning & deep learning models and expertise in statisticsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open sources ML frameworks.
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You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.
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Responsibilities:- Carry out interdisciplinary research in quantum computational chemistry (such as Post Hartree-Fock method, quantum embedding method) and machine learning(such as Neural Network QMC);- Perform theoretical analysis on machine-learning-based quantum chemical models;- Conduct large-scale quantum chemical simulations (such as MPI, GPU acceleration) and verify the correctness and practicability of proposed models.
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