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DE&A - AIML - ML Ops (AWS)

DE&A - AIML - ML Ops (AWS)

Zensar

4 - 7 years

1 - 6 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

kubernetes continuous integration python github maven microsoft azure apache tomcat docker ansible microservices continuous delivery spring spring boot git java devops linux jenkins shell scripting terraform mysql aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

Zensar Technologies is looking for DE&A - AIML - ML Ops (AWS) to join our dynamic team and embark on a rewarding career journey

Design, implement, and maintain ML infrastructure, including model deployment, monitoring, and automation tools
Develop and deploy ML pipelines for training, evaluation, and inference, ensuring scalability, reliability, and performance
Collaborate with data scientists and ML engineers to deploy models into production and integrate them with existing systems and applications
Implement continuous integration/continuous deployment (CI/CD) pipelines for ML workflows, including version control, testing, and deployment automation
Monitor model performance, data quality, and system health, and implement proactive measures to address issues and optimize performance
Manage containerized environments (eg, Docker, Kubernetes) for deploying and scaling ML applications
Implement security best practices and compliance standards for ML systems, including data privacy and access control
Troubleshoot and debug production issues, working closely with cross-functional teams to resolve issues in a timely manner
Stay updated on emerging technologies, tools, and best practices in ML Ops and DevOps
Document processes, procedures, and configurations to ensure reproducibility and maintainability of ML systems

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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DE&A - AIML - ML Ops (AWS)