Machine Learning Ops Professional

BAY Area Technology Solutions

5 - 7 years

20 - 25 Lacs

pune

Posted:2 weeks ago| Platform:

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Skills Required

machine learning devops mlops docker azure cloud ci/cd kubernetes

Work Mode

Work from Office

Job Type

Full Time

Job Description

Machine Learning Ops Engineer is the one whos responsible for managing and optimizing the deployment and operation of machine learning models in production environments
He/she works closely with data scientists, software engineers, and DevOps teams to ensure that machine learning models are integrated seamlessly into existing systems and can scale effectively

Role & Responsibilities

Responsible for design and implementation of secure and scalable infrastructure in Azure cloud
Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects
Own and automate the infrastructure provisioning, demand forecasting and capacity planning
Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability
Setting up the alerts and monitoring for the platform
Monitoring system, application health, security controls and costEnvision, implement and rollout best MLOPs/DevOps tools and automation

Requirements:

Strong understanding of concepts related to Machine Learning, Architecture, and MLOps practices
Proficient in Azure Cloud practices and managing Azure Kubernetes Service infrastructure
Hands on experience in Python or any other scripting languages (Groovy, Shell)Experience with monitoring tools
Hands-on experience in Docker, Kubernetes
Excellent experience with source code management tools (git)Experience with modern cloud development practices such as Microservices Architecture, REST Interfaces etc
Experience in implementing Data/Model drift
Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline
Excellent Troubleshooting skills
Always ready to learn more and adopt new cutting-edge technology with right value proposition

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