Senior Machine Learning Infrastructure Engineer

What You’ll Be Doing

Backend & ML System Development

• Design, develop, and maintain scalable backend services using Python.
• Integrate ML models into production systems via REST/gRPC APIs and inference pipelines.
• Build reusable, efficient, and testable modules for ML workflows.
• Optimize model inference performance and reduce latency in production environments.

Machine Learning Engineering

• Collaborate with Data Scientists to deploy, monitor, and improve ML models.
• Work on feature engineering pipelines and data preprocessing workflows.
• Implement model versioning, logging, monitoring, and evaluation frameworks.
• Ensure reliability, scalability, and reproducibility of ML systems.

System Design & Architecture

• Contribute to system design discussions and architectural decisions.
• Design modular and extensible services that support AI/ML-driven features.