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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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Collaborate with other Network teams to develop network DevOps/SRE solutions with a focus on production integration Conduct network analysis, configuration management and develop improvements for system software performance, availability and reliability Provide program management assistance and contribute input to help manage project schedules, risks, and costs.
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Our Senior Machine Learning Engineer is a mid-level member of the Voice engineering staff ensuring we provide innovative experiences and operational excellence to our contact center agents, supervisors and customers.
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In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical techniques. Provide insight to program algorithm development: Design and develop machine learning algorithms, deep learning models, and statistical methods to solve complex problems - includes data preprocessing, feature engineering, model training, validation, and evaluation.
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San Francisco and San Jose, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Zachary Piper Solutions is seeking a Mid- level Cyber Engineer to support a defense contract.
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We are committed to developing exceptional talent and fostering a culture of innovation, and strive to foster an environment that welcomes a diversity of backgrounds and professional experience as we make advances in machine learning and artificial intelligence.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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This role requires extensive experience in program management, tooling, and automation, with a strong focus on Microsoft technologies such as SharePoint, Dynamics 365, Power Platform Suite, Power Query, Dataflows, Azure DevOps, GitHub, and cloud resources.
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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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DevOps Tools: Git/bitbucket, Jira, Ansible/Puppet, Jenkins/Circleci/Bamboo, Maven/Artifactory/nexus, etc. , DevOps tool chain (Terraform, Ansible, Jenkins, GitLab, Artifactory, bitbucket, etc.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-Learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions.
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15 years of prior experience in leading and scaling a data engineering organization, and overall data and analytics functions (e.g. data planning, data governance, data management, data visualization, machine learning, AI, etc.
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Familiarity with DevOps practices and tools specific to Azure, such as Azure DevOps, Azure Pipelines, Azure Container Registry, and Azure Kubernetes Service (AKS). At NDi, we engineer success into our solutions by concentrating first and foremost on the end-user, the mission of our customer, and the bottom line.
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machine learning devops jobs Title: engineer Company: Pri in College Park, MD
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