Tech Lead - MLOps & Infrastructure

MegazoneCloud US; United States; On-site; USD 175,000 - 200,000; Full time

Job summary

Megazone Cloud is seeking a Technical Lead for MLOps infrastructure to own the design and implementation of production-grade ML pipelines. You will drive architectural decisions, set technical standards, and ensure reliability, scalability, and regulatory compliance for the ML platform, including validation and reproducibility.

You will lead end-to-end MLOps efforts with CI/CD, Terraform-based infrastructure, SageMaker workloads, and governance across life sciences use cases, collaborating with

Qualifications

• Experience designing end-to-end MLOps pipelines with CI/CD for training, evaluation, and deployment with audit trails.
• Terraform experience for infrastructure-as-code of ML platform resources.
• Model registry governance including 21 CFR Part 11 compliance and reproducibility.

Responsibilities

• Architect and implement end-to-end MLOps pipelines with CI/CD for model training, evaluation, approval, and deployment with audit trails.
• Design and deploy infrastructure-as-code using Terraform for all ML platform resources.
• Build automated training jobs on Amazon SageMaker with hyperparameter tuning and distributed training.
• Implement model performance monitoring and automated retraining triggers.
• Establish CI/CD for ML artifacts, including versioning and staged rollouts with validation gates.
• Serve as Tech Lead—architecture reviews, mentoring, and technical decision‑making.

Skills

MLOps pipelines

ML CI/CD

System architecture

Mentoring

Compliance governance

Tools

Terraform

Amazon SageMaker

Job description

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.

Compensation Range: $175K - $200K