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Mid LevelFull-timeReactDjangoAWSGCPTerraformPyTorchCI/CDGoAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Bowyard is seeking an ML Infrastructure Engineer to build and maintain production-grade ML infrastructure for our AI systems that automate takeoffs for contractors. This role requires high autonomy in designing and executing infrastructure solutions that can handle real customer usage at scale.
Key Responsibilities
- →Design and maintain ML deployment and model serving infrastructure
- →Build end-to-end pipelines for model packaging, inference, monitoring, and scaling
- →Implement infrastructure-as-code across all cloud resources using Terraform
- →Own CI/CD pipelines, release processes, and deployment automation
- →Manage GPU provisioning, utilization, and cloud cost optimization
- →Build monitoring, alerting, and observability across services
- →Work closely with ML and fullstack engineering to ship production systems
- →Contribute to product development (React + Django) when infrastructure priorities allow
Requirements
- ✓Strong PyTorch knowledge with understanding of speed and memory bottlenecks and inference optimization
- ✓Experience managing GPU services (AWS, GCP, etc.), model containers, versioning and scaling
- ✓Experience owning infrastructure at a small team or startup
- ✓Cloud-native and pragmatic approach to choosing simple, reliable solutions
- ✓High ownership mindset with a proactive approach to problem-solving
- ✓Cost-aware and disciplined about cloud spend
- ✓Full-stack capable with ability to ship features in React or Django when needed
- ✓Fast learner who can navigate unfamiliar systems and tools quickly
- ✓Passion for building foundational systems that enable product velocity
