MegazoneCloud is the ideal digital transformation partner supporting enterprises in successful Generative AI adoption and cloud-native modernization.
About the role
Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth. True Servant Leadership: Our CTO leads with a "force multiplier" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves.
More about this role
Technical lead for MLOps infrastructure, owning design and implementation of production-grade ML pipelines, infrastructure-as-code automation, and model lifecycle management. Overall Tech Lead for the project: drives architectural decisions, sets technical standards, and ensures the ML platform is reliable, scalable, and compliant with operational and regulatory requirements (validation and reproducibility standards for HCLS AI).
- Architect and implement end-to-end MLOps pipelines: CI/CD for model training, evaluation, approval, deployment with audit trails
- Design and deploy infrastructure-as-code using Terraform for all ML platform resources
- Build automated training jobs on Amazon SageMaker: hyperparameter tuning, distributed training, spot optimization for life sciences workloads
- Implement model performance monitoring: data drift detection, prediction quality tracking, automated retraining triggers
- Establish CI/CD for ML artifacts: model versioning, container builds, integration testing, staged rollouts with validation gates
- Design model registry and artifact management for governance, reproducibility, and 21 CFR Part 11 compliance
- Implement infrastructure...
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