Software Engineer, ML Platform
Core
Build, deploy, and scale ML/AI infrastructure solutions and MLOps pipelines to support AI/ML engineers and application owners.
Role type
Senior Machine Learning Platform and Infrastructure Engineer
Builds
Automated MLOps pipelines, feature stores, model deployment frameworks, and observability tools for ML/AI models
Domain
Fintech / Small Business HR / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Python, Ruby, Java, Cloud platforms (AWS), MLOps, CI/CD pipelines, Feature stores, Model deployment, Observability tools, API design
Preferred skills
Emerging AI frameworks, AI-assisted development tools, AI-native engineering lens
Technologies
AWS, Python, Ruby, Java, CI/CD, Feature stores
Responsibilities
Design and build MLOps solutions with automated pipelines for building, deploying, running, monitoring, and retraining ML models; Develop and maintain frameworks for ML model development and deployment; Collaborate with stakeholders to determine business requirements and SLAs for API-enabled services; Support new deployment patterns with CI/CD and automated testing; Apply AI tools to reduce effort and simplify workflows
Seniority
Senior, hands-on IC
