AI Infrastructure / Platform Engineer
Anthelion Capital25 days ago
Base Salary
$140k - $200k/yr
Responsibilities
- Design, build, and maintain production data pipelines for ML workflows.
- Own and extend the Prefect-based orchestration layer for data processing.
- Build and maintain feature stores and data contracts for data quality.
- Collaborate with data scientists to operationalize experimental workflows.
- Build scalable infrastructure for model training and inference.
- Implement model serving infrastructure and manage monitoring systems.
- Support the operationalization of agentic AI workflows.
- Deploy and maintain shared AI platform services on Azure.
- Manage cloud infrastructure and maintain CI/CD pipelines.
Requirements
- 3+ years of experience in data engineering, MLOps, or ML infrastructure roles.
- Strong proficiency in Python and SQL for building ETL/ELT pipelines.
- Experience with workflow orchestration tools in production environments.
- Solid understanding of containerization and cloud infrastructure.
- Hands-on experience deploying containerized services in cloud environments.
- Experience with model serving and deployment patterns.
- Familiarity with monitoring and observability tooling for pipelines.
- Strong documentation habits and clear communication skills.
Benefits
- Comprehensive health, dental, and vision insurance.
- Retirement savings plan with company match.
- Hybrid/flexible work arrangements and a supportive work environment.