MLOps Engineer

Job Summary
:

Bobyard is a company that builds AI systems to automate takeoffs for contractors, enhancing efficiency in project management. They are seeking an MLOps Engineer who will design and maintain ML deployment infrastructure while ensuring reliable production systems that support rapid engineering workflows.

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 (Terraform target state)

• 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

Qualifications
:
Required
:

• 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 (Terraform target state)

• 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

• Strong PyTorch knowledge with understanding of speed and memory bottlenecks and inference optimization

• Comfortable managing GPU services (AWS, GCP,...), model containers, versioning and scaling

• Experience owning infrastructure at a small team or startup

• Cloud-native and pragmatic — chooses simple, reliable solutions

• High ownership mindset — you don’t wait to be told what to fix

• Cost-aware and disciplined about cloud spend

• Full-stack capable — can 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

Company
:

AI cost estimates for construction Founded in 2023, the company is headquartered in Menlo Park, USA, with a team of 11-50 employees. The company is currently Early Stage.