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.
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