| Required MLOps Engineer with Sagemaker - Remote at Remote, Remote, USA |
| Email: [email protected] |
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Hello, Momento USA is a global technology consulting, talent acquisition and creative development firm that addresses clients' most pressing needs and challenges. We are currently looking for AWS MLOps Engineer with Sagemaker - Remote. Please see the job description below for your reference Position : AWS Dev/Ops Engineer with Sage maker Hourly Rate : Market Duration : Long term Location: Remote Works with the Data Science team to ensure deployment of ML Models using Terraform as IaC(Infrastructure as code), Design, build and configure Terraform templates . CICD pipelines to build the infrastructure. Key Responsibilities: This position requires resources to come from a cloud infrastructure background and well versed in deploying AWS Sage Maker objects, also needs understanding on security infrastructure, networking knowledge in AWS and Dev/OPS process. Technical Experience: Experience in IaC with terraform. Experience in deploying the AWS Sage maker components. Have exposure and understanding of IaC DevOps CICD architecture and design. Oversee overall cloud infrastructure, security, storage, networking, system, integration, design, and implementation. Safeguard best practices and fit into existing client compliance security framework. Exposure to cloud/data security work. Experience in architecting and designing an enterprise level architecture. Qualifications Bachelor's Computer Engineering, Informatics, MIS, or related field Minimum 5 years of terraform experience with AWS and Overall, 10-12 Years if industry experience Minimum 3 years of AWS cloud experience (services like Sage maker, S3 ,IAM, Cloud watch, Lambda, ECR) Expertise in developing Dev/Ops CI CD Pipelines At least 2 years of Python Experience Would prefer if the candidate has any previous experience with Data tools (ETL, Data Engineering) Experience in Configuration Management, Experience working with CI/CD tools like Jenkins and GitLab Bonuses Machine Learning Model deployments are a bonus. Passion to learn and develop new skills and technologies as per requirement. Exposure to healthcare and / or insurance Domains Thanks, Adil M Sr. Technical Lead Momento USA | Exceeding Customer Expectations Email: [email protected] -- Keywords: continuous integration continuous deployment machine learning sthree information technology |
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| 12:46 AM 06-Feb-24 |