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Qualifications:Experience with designing solutions with a blend of low-code elements, pro-code enterprise elements, machine learning & AI cognitive services (for example, Power Platform, Azure App, Azure Cognitive Services & Azure Machine Learning)Fluency and Specialization with at least two modern languages such as Java, C.
$236,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ML/AI (Machine Learning / Artificial Intelligence) This position contributes to the assessment, design, build, and deployment of SaaS solutions utilizing industry best practices within a private Microsoft Azure environment.
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Machine learning Engineer. Deploy machine learning models on cloud platforms (AWS, GCP, Azure) Implement secure deployment practices using Docker and Kubernetes. Ensure model explainability, monitoring, and optimization for deployment.
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As a Junior Machine Learning Engineer, you will play a crucial role in supporting the development and deployment of these innovative ML models focused on document processing tasks.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Working closely with business partners and engineers, the Data Scientists support operations through development and deployment of useful and scalable statistical, machine learning, and deep learning models that make our facilities safe, efficient, and optimal.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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The desired candidate is an innovative, a hands-on coder with previous experience developing large-scale platforms utilizing data engineering, machine learning and cloud platforms & services.
Full-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment. Work with clients to design, develop, and deploy new architectures for machine learning & automation applications such as ELT functions, HPC/compute infrastructure, hybrid cloud solutions, database management, and optimization of DevOps procedures.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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As an experienced engineer, you know that machine learning ( ML ) is critical to understanding and processing massive datasets. 1+ years of experience with cloud platforms, including Azure AI Studio or ML, AWS Bedrock or SageMaker, or GCP Vertex AI and MLOps, including CI / CD, model training or testing, deployment, or monitoring.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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The Cloud Data Engineer works on cross functional teams to develop the reusable Infrastructure as Code (IaC) to build data pipelines, create new Cloud Infrastructure, and support feature engineering and deployment of machine learning and Artificial Intelligence (AI) models.
$140,290 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Familiarity with Machine Learning, Artificial Intelligence, and/or production level model deployment. Analysis, design, development, test, troubleshooting and documentation of complex systems including several of the following: predictive models, feature extraction, data-driven analysis, application of machine learning algorithms, text mining, decision support, variable selection and model fit.
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Knowledge of mathematical principles and statistics, Power BI, Tableau, SSRS, Machine Learning, Artificial Intelligence, HTML, Query tools, Report writers, Data mining, Analysis tools, proficiency with Microsoft Excel, Access, Word, and PowerPoint, Data analysis.
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As a Senior ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
$209,500 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Sourcing aimed at supporting adoption and rationalization of technologies requiring technical expertise in emerging industry technology categories such as 3rd party/hybrid/on- premise cloud, Artificial Intelligence and Machine Learning (AI/ML) SW, Radio Access Networks, Next Gen Business Support Systems, Automation, transformational SaaS and PaaS, disaggregated network solutions, data warehouse and analytics.
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Manager, Machine Learning Engineering Qualifications. Manager, Machine Learning Engineering. As an MLE Manager, you will be responsible for both technical leadership and people management, with a focus on driving the development, deployment and support of advanced analytics that deliver communications intelligence driving actionable insights as part of our FinTech and RegTech Product portfolio.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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The Machine Learning (ML) Supply Chain Operations team's mission is to deliver ML capacity predictably and at scale through planning deployment speed and efficiency, and enablement of partner teams.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago
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