Key Responsibilities
- Optimize and deploy trained AI models for production environments
- Develop and maintain data pipelines for model training and inference
- Collaborate with research and engineering teams to improve model performance
- Implement best practices for model versioning, monitoring, and maintenance
- Ensure scalability, reliability, and security of AI systems
Requirements
- 3+ years of experience in AI engineering or related fields
- Proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow)
- Experience with model optimization and deployment
- Strong understanding of data pipelines and ETL processes
- Familiarity with cloud platforms and containerization technologies