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Proficiency in at least one of the following deep learning framework, tensorflow, pytorch Proficient in core technologies like Spark, Hadoop and Hive. Proficiency in at least one of the following programming languages, Python, scala, Java. 5 years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection.
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Familiarity with Azure services related to AI and ML, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
$180,000 - $250,000 a yearRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. We are looking for a motivated and self organized Machine Learning Engineer who can build and deliver state of the art batch, streaming and real time ML and AI solutions to join the Marketing program to drive powerful experiences for our users.
$220,400 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. 4+ years of experience with privileged and elevated access using cybersecurity tools, including Trellix Endpoint Security Suite (ESS), or McAfee HBSS, ePO, and FireEye tools, such as MVX, NX, HX, PX, IA, AX, IAS PCAP, or malware or forensics analysis solutions, and Palo Alto Firewalls, ForeScout, ACAS, or Splunk/Cribl.
$65,300 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
$230,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Foster a culture of learning and innovation. AI/MLOps GPU accelerated solutions in cloud computing environments, such as AWS, GCP, Aure and OCI.Experience with virtualization and/or cluster management tools, such as Docker/Containers/ Kubernetes.
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Perform Gap analysis and methodologies to identify the implications of artificial intelligence and machine learning for the future of warfare, and the specific defense and security applications (e.g., intelligence analysis, command and control, targeting, autonomous systems, information operations, training and simulation) where AI will be most impactful.
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Experience with DevSecOps, CI and CD, IaC and CaC, IT Infrastructure Library, and IT Service Management. Experience with privileged and elevated access with cybersecurity tools such as ForeScout, Palo Alto Firewalls, Splunk and Cribl, or DoD Endpoint Security Solution (ESS) formerly (HBSS.
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Experience with time series analysis techniques and advanced machine learning algorithms in a quantitative finance or risk management environment. As a valued colleague on our team, you will be responsible for leveraging expertise in economics, statistics (with a focus on time-series modeling), and advanced machine learning techniques (including reinforcement learning) to develop predictive models, optimize risk management strategies, and drive actionable insights.
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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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Demonstrated experience implementing machine learning models on text and multimedia data such as Spark NLP and Computer Vision models. Demonstrated experience using artificial intelligence and machine learning technologies/packages.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI) as well as robotic process automation (RPA.
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As part of a growing team this role will have the ability to leverage and work with new capabilities as they are deployed including deception infrastructure, continuous penetration testing, data loss prevention (DLP), and machine learning capabilities.
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The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring generative AI, natural language processing, LLMs, and other foundation models.
$85,700 - $127,500Full-timeExpandApply NowActive JobUpdated Yesterday
machine learning jobs in Washington, Beatrice, Nebraska
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