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terraform aws pytorch apache airflow sagemaker📋 Description
- Build and maintain Apache Airflow DAGs for ML pipeline orchestration
- Develop SageMaker training jobs for NLP models (NeMo, PyTorch)
- Implement MLflow tracking and model registry integrations
- Write infrastructure-as-code using Terraform (AWS S3, IAM, VPC)
- Create comprehensive tests for ML pipeline components
- Orchestrate end-to-end ML workflows from data ingestion to deployment
🎯 Requirements
- Experience with PyTorch, transformers, or other ML libraries
- Familiarity with ML model evaluation and experimentation
- Interest in ML/AI infrastructure and operations
- Strong problem-solving and debugging skills
- Comfortable with Linux/command-line environments
- Knowledge of AWS services (S3, SageMaker, IAM)
🎁 Benefits
- Remote-first culture with global teams
- Work with leading AI/ML platforms
- Collaborative, growth-focused environment
- Recognized as a Best Places to Work
- Opportunity to impact enterprise ML workloads
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