Mogi I/O : OTT/Podcast/Short Video Apps for you
Website:
mogiio.com
Job details:
Location: Mumbai / Bangalore
Employment Type: Full-Time
Role Overview
Client is looking for an experienced AI Data Engineer (MLOps/AIOps) to deploy, monitor, and optimize enterprise AI solutions on Azure. The role focuses on building scalable, secure, and high-performing AI systems while ensuring operational excellence across the AI lifecycle.
Key Responsibilities
- Deploy, monitor, and maintain AI/ML models on Azure.
- Build and manage MLOps pipelines for CI/CD and model lifecycle management.
- Monitor model performance, drift, availability, and system health.
- Manage releases, version control, and production deployments.
- Optimize AI infrastructure for scalability, reliability, and cost efficiency.
- Ensure governance, security, compliance, and auditability.
Must-Have Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
- 3+ years of MLOps/AIOps experience, preferably in Azure environments.
- Strong expertise in Azure ML, Synapse, Data Lake, Cosmos DB, App Services, and Azure AI Foundry.
- Experience managing production-scale AI/ML solutions.
- Hands-on experience with Azure DevOps, GitHub Actions, Key Vault, App Insights, and Log Analytics.
- Knowledge of AI workflows, model fine-tuning, RLHF, and evaluation frameworks.
- Experience with model monitoring, telemetry, performance testing, and incident management.
- Strong communication and stakeholder management skills.
Click on Apply to know more.