MLOps Engineer - Teknosys
Islamabad, Islamabad Capital Territory, Pakistan
USD 115K-176K (estimate) Mid-level Full Time
Tasks
- Apply infrastructure as code and configuration management for ML environments
- Automate end to end ML lifecycle training validation deployment and retraining
- Build and maintain scalable infrastructure for ML workloads using cloud and containers
- Collaborate to operationalize models and resolve deployment challenges
- Design build and maintain CI CD pipelines for machine learning models and AI applications
- Ensure scalability security observability and reliability standards
- Implement model monitoring for performance drift and reliability
- Manage model versioning registries reproducibility and rollback
- Stay current with MLOps tools platforms and best practices
- Support responsible AI practices data privacy security and governance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Ansible | Apache Airflow | Azure | Bash | CI/CD | Cloud platform | Docker | Git | Google Cloud | Google Cloud Platform | Kubeflow | Kubernetes | Logging | MLflow | Model Monitoring | Observability | Python | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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