Posted:1 day ago|
Platform:
On-site
Full Time
• Build automated CI/CD pipelines specifically for ML models using tools like MLflow, Kubeflow, and custom solutions
• Implement model versioning, experiment tracking, and model registry systems
• Monitor model performance, detect drift, and implement automated retraining pipelines
• Manage feature stores and data pipelines for real-time and batch inference
• Build scalable ML infrastructure for high-volume data processing and analytics
• Architect and manage cloud-native infrastructure with focus on scalability, security, and compliance
• Implement comprehensive monitoring, logging, and alerting systems
• Manage secrets, security, and enterprise compliance requirements
• Implement real-time data processing and streaming architectures
• Design data storage solutions for structured and unstructured data at scale
• Implement data validation, quality checks, and lineage tracking
• Manage data security, privacy, and enterprise compliance requirements
• Optimize data processing for performance and cost efficiency
• Ensure high availability (99.9%+) and performance of enterprise-grade platforms
• Implement auto-scaling solutions for variable ML workloads
• Manage multi-tenant architecture and data isolation
• Optimize resource utilization and cost management across environments
• Implement disaster recovery and backup strategies
• Build 24x7 monitoring and alerting systems for mission-critical applications
• Experience mentoring junior engineers and technical team leadership
Please submit your resume and a cover letter outlining your relevant experience and how you can contribute to Aaizel Tech Labs’ success. Send your application to hr@aaizeltech.com , bhavik@aaizeltech.com or anju@aaizeltech.com.
Aaizel International Technologies Pvt Ltd
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