Experience Required :
- 5-7 years
- Job Description :
We are looking for an experienced Devops Engineer to join our team and help streamline and scale our machine learning workflows.
The ideal candidate will have 5-7 years of hands-on experience in deploying, monitoring, and maintaining machine learning models in production environments.
Key Responsibilities :Design, develop, and maintain scalable and automated Devops and Machine learning CICD pipelines for build, deploying and monitoring infrastructure and ML models.Implement best practices for CI / CD in Java / Node / Python Build and Deployment Pipelines and Knowledge in machine learning pipelinesManage model versioning, lifecycle management, and monitoring of models post-deployment.Collaborate with data scientists to ensure models are production-ready, focusing on scalability, security, and performance.Automate data pre-processing, feature engineering, model training, and model evaluation workflows.Monitor the health and performance of models in production and optimize for cost-efficiency and scalability.Develop and maintain infrastructure for managing large-scale machine learning workflows using cloud platforms (AWS, Azure, GCP).Troubleshoot issues and optimize model deployment infrastructure to ensure high availability and performance.Work closely with DevOps to build infrastructure-as-code solutions for managing cloud resources.Maintain proper documentation of MLOps processes, tools, and frameworks.Tech StackExperience with cloud platforms such asAWSAzure, orGCPStrong programming skills inPythonandPysparkKnowledge ofCI / CDpipelines (preferably GIT LAB) and infrastructure-as-code tools such asTerraformCloudFormationKnowledge of containerization technologies likeDockerand orchestration usingKubernetesKnowledge onCPU, GPUbased deploymentsExperience with monitoring and logging tools mainlyDataDogFamiliarity withdata pipelinesandETL frameworksStrong understanding of security and compliance aspects related to machine learning in production.Experience in code repos likeBitbucket, GitLab, GitHub