Smarsh

Smarsh

Smarsh provides cloud-based archiving and compliance solutions that help organizations in regulated and litigious industries manage the risks associated with their electronic communications across more than 80 channels.

IT Services
251-1K
Founded 2001
$44M raised

Description

  • Build and maintain Apache Airflow DAGs for ML pipeline orchestration.
  • Develop SageMaker training jobs for NLP models using NeMo and PyTorch.
  • Implement MLflow tracking and model registry integrations.
  • Write infrastructure as code using Terraform for AWS resources such as S3, IAM, and VPC.
  • Create comprehensive tests for ML pipeline components.
  • Follow spec-driven development practices using Claude Code.
  • Contribute to ML observability and evaluation frameworks.

Requirements

  • Experience with PyTorch, transformers, or other machine learning libraries.
  • Familiarity with ML model evaluation and experimentation.
  • Interest in ML/AI infrastructure and operations.
  • Strong problem-solving and debugging skills.
  • Comfortable working in Linux and command-line environments.
  • Knowledge of AWS services including S3, SageMaker, and IAM.
  • Exposure to Apache Airflow or workflow orchestration.
  • Understanding of CI/CD, testing, or infrastructure as code.

Benefits

  • Remote work arrangement.
  • Paid internship opportunity.
  • Hourly pay of $25 per hour.

Interested in this position?

Apply directly on the company website

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