Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Job Description -
- Build full-stack MLOps pipelines covering experimentation, training, deployment, monitoring, governance.
- Design and maintain AI/ML infrastructure using Azure, Kubernetes, Docker, and cloud-native/open-source tooling.
- Automate CI/CD for ML models including testing, validation, and seamless production deployment.
- Implement monitoring, observability & AIOps to detect drift, failures, performance issues, and auto-remediate incidents.
- Set MLOps standards for versioning, model registry, experiment tracking, security, and controlled rollout strategies.
- Enable cross-team collaboration with Data Scientists, AI/ML Engineers, Data Engineers, and Software Engineers for smooth integration and delivery.
- Ensure data governance & compliance by managing lineage, quality, auditability, and secure handling of government datasets.
- Automate infrastructure with IaC (Terraform/ARM), troubleshoot production issues, adopt new tools, and document everything clearly.
Key Skills
Ranked by relevanceReady to apply?
Join SmartChoice International UAE and take your career to the next level!
Application takes less than 5 minutes

