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Design and develop creative, learner-centered, performance-based training materials in multiple modalities including eLearning, blended learning content, videos, tutorials, etc. Lead the development and implementation of new learning models and content design templates.
$107,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Integrated System Building: Design and build integrated systems that encompass IIOT, data acquisition, instrumentation, automated test equipment, process controls, quality controls & inspection, motion controls, vision systems, robotics, machine design & build, AI & machine learning, data science, and real-time visualization.
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1+ year experience in multi-media development with audio, video, and/or graphic design (e.g., Audacity, Adobe Audition, Camtasia, Adobe Premiere Pro, Final Cut Pro, Adobe Illustrator, Photoshop.
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Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Minimum of 5 years' experience in Software Engineering roles as DevOps/Build and Release Engineer. client Biosciences is seeking a Senior Build and Release/DevOps Engineer with team leadership and solid DevOps architecture experience to join our exciting and growing team.
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Job Description We have multiple openings for Computational Bioengineers who will conduct research leading to our next-generation, machine learning-driven computational pipeline for protein design and optimizing protein-protein interactions as part of the Center for Predictive Bioresilience (CPB.
$245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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We provide solutions in cybersecurity systems modeling and analysis, software vulnerability assessments, microelectronics quantifiable assurance, and related cloud-scale machine learning and data processing challenges.
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We design, build, implement, and manage advanced analytics and visualization solutions that leverage our deep expertise in Analytics Process Automation (APA), Machine Learning (ML), Artificial Intelligence (AI), and Deep Learning (DL) to enable our clients to achieve success through robust, durable solutions.
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Nice to Have: AWS Developer Associate, AWS Solution Architect Professional, AWS DevOps Professional. Attendues : AWS Solution Architect Associate, AWS SysOps Associate, Terraform Associate.
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Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Title: Cloud Engineer – AWS, DevOps, Kubernetes. Detailed understanding of AWS DevOps Kubernetes. Cloud Engineer with strong experience in Cloud DevOps IaaS(Compute/Infra Services), docker/Kubernetes, Teraform scripting, PaaS components, Cloud Networking, security (Authentication, Authorization), Chef, Ansible, YAML, Python or Go lang knowledge.
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Execute a lead role for the design, development, and verification of real-time machine learning algorithms for innovative power tools. As a Sr. Machine Learning Engineer, you will manage the creation, deployment, and validation of machine learning models while working with highly cross-functional teams to make power tool solutions that change the lives of our users.
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machine learning aws devops design build jobs Title: devops engineer
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