Tech Lead: End-to-End MLOps & Infra Platform

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

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