Key Responsibilities
- Design and deploy scalable machine learning systems in production environments
- Optimize ML models for performance, latency, and cost efficiency
- Implement MLOps pipelines for model training, validation, and deployment
- Collaborate with data scientists to productionize research models
- Troubleshoot and resolve issues in distributed ML systems
- Develop monitoring and alerting systems for ML model performance
Requirements
- 7+ years of experience in machine learning engineering or related fields
- Expertise in ML model deployment and serving infrastructure
- Strong programming skills in Python and ML frameworks
- Experience with cloud platforms and containerization technologies
- Deep understanding of ML system design and optimization