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

MegazoneCloud US

United States

On-site

USD 175,000 - 200,000

Full time

6 days ago
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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

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