AI Infrastructure Engineer
4 dni temu
About the Role:
- Point Wild is building the Trailblazer AI Team—a dedicated group focused on applying AI to enhance our products, drive business growth, and deliver real-world impact across multiple product lines.
- We are seeking a highly skilled AI Infrastructure Engineer to join our team and play a critical role in standing up and maintaining the data pipelines and infrastructure that power AI initiatives across the company.
Day-to-Day Responsibilities:
- Data Pipeline Development – Design and maintain ETL/ELT pipelines to ingest, clean, and transform data from multiple product lines.
- AWS ML Infrastructure – Stand up and manage AWS-based ML infrastructure (e.g., S3 data lakes, AWS Glue, EMR, AWS Batch, Lambda, SageMaker).
- Model Deployment & MLOps – Own CI/CD for ML models, including environment setup, model versioning, containerization, and monitoring.
Why This Role Matters?
- Enables AI at Scale – AI engineers are focused on modeling; we need dedicated expertise in data pipeline engineering and infrastructure.
- Critical to Operationalization – AI models are only valuable if they can be deployed, scaled, and monitored in production.
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