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Experience working with Google Cloud platform(GCP) – specifically Google Kubernetes engine, Terraform, and infrastructure. Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc.
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Experience in container management solution: Kubernetes, Docker. Leverage latest ML/Gen AI/GCP/AIOPs/Kubernetes technologies. Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science/AI/ML platform.
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Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.
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Experience with Google Cloud infrastructure provisioning, including VPC, Subnet, Gateway, Security groups, Google Cloud SQL, Kubernetes, CloudRun, etc. Experience with Google Cloud infrastructure provisioning, including VPC, Subnet, Gateway, Security groups, Google Cloud SQL, Kubernetes, CloudRun, etc.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We are hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes.
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Master focused in Computer Science / Machine Learning or related fieldExperience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructureExperience in delivering cloud engineering productExperience in programming concepts such as Paired Programming, Test Driven Development, etc.
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Keywords: Cloud, AWS, Azure, GCP, DevOps, CI/CD, Terraform, Docker, Kubernetes, Python, Github, Jenkins, Linux, Windows. Keywords: Cloud, AWS, Azure, GCP, DevOps, CI/CD, Terraform, Docker, Kubernetes, Python, Github, Jenkins, Linux, Windows.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience working with Google Cloud platform (Google Cloud Platform) specifically Google Kubernetes engine, Terraform, and infrastructure. Leverage latest ML/Gen AI / Google Cloud Platform/AIOPs/Kubernetes technologies.
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Implement strong product quality, performance, and security practices using Jenkins, Terraform, and Kubernetes. Prior experience developing for and administering to a large-scale platform for work Kubernetes or AWS Batch.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. Stefanini is looking for Machine Learning Engineer, Location: Dearborn, MI (Hybrid.
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What you'll do Architect, design, and implement a scalable and highly available Streaming Ingest Platform based on Kubernetes, mostly Java with some java script, Go, Rust, React, PostgreSQL and Redis.
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2+ years of experience and good understanding of OpenShift / Google Cloud Platform / DevOps / CICD / Docker / Kubernetes / GitHub. Good to know Python. 2+ years of experience and good understanding of OpenShift / Google Cloud Platform / DevOps / CICD / Docker / Kubernetes / GitHub. Good to know Python.
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Understanding of MLOPs/Machine Learning Life Cycle and common machine learning frameworks: sklearn, tensorflow, pytorch etc. Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. Help innovate standardize machine learning development practices.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience in deploying production software using Kafka, Kubernetes, Elasticsearch, and PostgreSQL. Hands-on experience on Java, Spring boot, Angular, React JS, GCP SQL. Strong in Software Programming/Engineering with a good understanding of DevOps (Jenkin, Tekton, SonarQube, FOSSA, Splunk, Dynatrace) tool and GitHub etc.
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GCP/CloudRun Docker Kubernetes Jenkins GraphQL. Java Spring/SpringBoot HTML/CSS Angular/React JavaScript/jQuery Node.js HTTP/REST SQL GitHub. Rally Adobe Analytics SharePoint Adobe Experience Manager Headless Content Management Systems.
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kubernetes job in Detroit, MI
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