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Professional experience in ML Ops, data engineering, or DevOps with a focus on machine learning systems. We are looking for a senior ML Ops Engineer to lead and enhance our machine learning operations, ensuring the efficient deployment and management of our ML models for our personalization and recommendations team.
$187,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in Microsoft Azure, including Azure Machine Learning Services, Azure DevOps, and Azure Kubernetes Service (AKS). We are seeking a talented and experienced Machine Learning Operations (ML Ops) Engineer with 2-4 years of hands-on experience in deploying and managing machine learning models in a Microsoft Azure environment.
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Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
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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 12 days ago - UpvoteDownvoteShare Job
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Design, develop, and deploy machine learning models for various applications, including but not limited to predictive analytics, anomaly detection, knowledge fusion, NLP, and computer vision.
$255,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect). As a Senior DevOps Engineer, you will play a crucial role in managing and optimizing our AWS infrastructure, Kubernetes clusters, and Postgres SQL databases.
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As a Senior Site Reliability Engineer at Circle, you will design, build, and maintain Circle's infrastructure estate to meet the growing worldwide customer base on public cloud providers across multiple regions.
$227,500 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Design, build and deliver software to dramatically improve the availability, scalability, latency, and efficiency of WFS’s services. The Devops Infrastructure Engineer will be responsible for ensuring our systems are best-in-class for stability, observability, and enterprise application scaling in the financial services industry.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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We are seeking an experienced Machine Learning Engineer to help us build new ways to connect our players via in-game matchmaking systems. Knowledge of Machine Learning and Statistical concepts including experimental design, hypothesis testing, regression, classification, and clustering.
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Comprehensive understanding of machine learning and NLP algorithms, with hands-on experience in frameworks like Scikit-Learn, TensorFlow, and PyTorch. Expertise in LLM ecosystems, including platforms like Azure OpenAI, Google Vertex, and AWS Bedrock, and mastery of relevant tech stacks.
$253,800 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Design, implement, and maintain efficient CI/CD pipelines using Azure DevOps on-premises, streamlining the deployment, and testing of applications, database objects and containerized services.
$131,900 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The Sales Design Engineer (SDE) will collaborate with Account Executives and provide the technical expertise during the pre-sales process for opportunity types such as Request for Proposal (RFP), Design-Build, and Design Consulting.
$125,000 a yearExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Design and implement sophisticated machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios.
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machine learning aws devops design build jobs Title: devops engineer in Los Angeles, CA
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