Job Description

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.
Write clean, maintainable, and well-documented code.
Engineering Excellence
Implement unit tests,...

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