Tech Lead - MLOps & Infrastructure

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).

Activities

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 monitoring, alerting, and auto-scaling for training and inference workloads
• Define and enforce MLOps best practices, coding standards, and architectural patterns

Serve as overall Tech Lead

architecture reviews, mentoring, technical decision-making

• Coordinate with customer platform, IT security, and quality teams on networking, security, and compliance

Why You'll Love It Here

• 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.
• Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems.
• A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures.

We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.

Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.