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Key Responsibilities:- Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow. We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization.
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You’ll leverage your expertise in Arabic NLP and machine learning to design, train, and deploy models that accurately assess the complexity of Arabic text. Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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Experience with MVC and design patterns, in working with Agile methodology, unit testing practices, Google Cloud Platform core services, Kubernetes Platform Development and administration, Containerization technologies - Docker, Cloud native architecture and microservices, continuous integration/continuous deployment or development (CI/CD) pipelines and DevOps practices, working in a multicultural environment demonstrable ability to adapt to different cultures, GCP cloud migration.
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3+ years Deep Understanding of service design for Cloud (AWS/Azure) or similar using Containers, Container Orchestration (like Kubernetes), configuration management, and Kafka. An ideal candidate will have 6-10 years' combined experience in Tech Ops Lead, SRE, Tech Project Delivery Lead, DevOps and, performing BAU and Application Support.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Preferred Qualifications: AWS Certified Solutions Architect, DevOps Engineer, or other relevant AWS certifications. Key Responsibilities: Cloud Infrastructure Design and Management: Design, implement, and maintain scalable, secure, and reliable AWS cloud infrastructure.
$115,000 - $125,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. AI/MLOps GPU accelerated solutions in cloud computing environments, such as AWS, GCP, Aure and OCI.
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Relevant certifications such as VMware Certified Professional (VCP), Microsoft Certified: Azure Administrator Associate, AWS Certified Solutions Architect, or equivalent certifications are a plus.
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Experience with Terraform Cloud and Azure DevOps Experience with Jira and ServiceNow Competence in a wide range of IT skills including networking, systems administration, data protection, information security and CI/CD tooling.
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4-7 years of experience in development, operations, and infrastructure, with a current or most recent role as a Site Reliability Engineer, DevOps Engineer, or an equivalent position for at least 2-3 years.
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Proficiency in instructional design principles, training methodologies, and adult learning theory. Facilitate training sessions, workshops, and seminars, utilizing a variety of delivery methods, including Parks University, and instructional techniques to engage participants and maximize learning outcomes.
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Advanced understanding of software security architecture fundamentals is required (Infrastructure, Azure, AWS, Operating Systems, Virtualization, Networking Concepts, Commands and Scripting, Network Security, Operational Security, Threats, Host Security, Access Control, Cryptography, etc.
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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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Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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We are seeking a highly motivated Sr. Engineer - PE to join our growing Design Management Services team in Cary, NC. Experienced in land development, grading, drainage, erosion control, stormwater management, and utility design.
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machine learning aws devops design jobs Title: devops engineer in Raleigh, NC
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