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Experience with AI/ML tooling in Azure (Azure Machine Learning, Databricks). Design and implement Azure-based CI/CD pipelines to automate build, test, and deployment processes.
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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.
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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.
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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Hands-on experience in machine learning and TensorFlow framework.
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8-10 years of experience working as a Software Engineer, DevOps Engineer, MLOps Engineer, or Machine Learning Engineer within a production ecosystem. We are seeking a dedicated Machine Learning Engineer with a passion for data science, to lead and manage our critical Machine Learning and Artificial Intelligence Platform.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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Hands-on experience to design and build solution powered by DBT models and integrate with databricks. Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker, etc.
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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.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Deploy knowledge of Azure DevOps, YAML, Shell scripting, Terraform, and pipelines.
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Why You're Excited About This Opportunity: Design, construct, support, and integrate ML applications directly influencing user experience and company growth. Collaborating closely with vertical teams, you will design and integrate ML techniques into product features.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Fluency in using mathematical optimization or machine learning, including algorithm design, continuous and discrete optimization, stochastic analysis, supervised and unsupervised machine learning methods, and deep learning, to develop solution methods to be used by in-house decision support tools and software.
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Job ID: 484650 Preferred Materials - Asphalt Division, part of CRH South Division of Companies, is the leader in production of high-quality hot mix and warm mix asphalt, and, with a team of skilled contracting professionals, Preferred Materials - Asphalt Division also offers design-build and conventional-bid-build solutions for roadway and civil construction projects.
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Demonstrable experience building data pipelines, transformations, analytical environments Demonstrable experience with Azure Data Platform (Synapse, SQL, Cosmos DB, Databricks, Machine Learning workspace) Collaborate with Product Managers, Solution Architects, DevOps and Information Security teams to understand data requirements for software development in an Agile environment Compose and maintain detailed design specifications and component documents.
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machine learning devops design build jobs Title: devops engineer
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