Job description
Role overview
We seek a Python-savvy MLOps Engineer to build scalable systems for inventory scanning innovation. The role focuses on MLOps pipelines, configuration infrastructure, and distributed data pipelines for warehouse automation.
The ideal candidate will collaborate with cross-functional teams to design reliable systems while optimizing performance and scalability across machine learning workflows.
Responsibilities
- Design and implement scalable MLOps pipelines for machine learning model deployment
- Build and maintain distributed data processing systems for warehouse inventory tracking
- Collaborate with data scientists to optimize model training and inference workflows
- Develop infrastructure for configuration management and version control of ML systems
Requirements
- 2+ years of Python development experience with MLOps or DevOps focus
- Proven experience with cloud platforms (AWS/GCP) and containerization tools (Docker, Kubernetes)
- Strong understanding of CI/CD pipelines and infrastructure-as-code principles
- Familiarity with machine learning lifecycle and model versioning practices
Benefits
- Competitive salary with performance-based bonuses
- Equity options for top contributors
- Professional development budget for certifications and conferences
Keywords
PythonMLOpsDockerKubernetesCI/CDAWSData PipelinesMachine LearningDevOpsCloud Infrastructure