Responsibilities
- Develop and manage end-to-end components of live machine learning systems
- Enhance performance, scalability, and dependability of models and data workflows
- Collaborate with platform and infrastructure teams to ensure smooth deployment
- Assess balance between model sophistication, interpretability, and response speed
- Design and apply testing, monitoring, and validation protocols for ML implementations
- Integrate security, data privacy, and ethical AI practices into system architecture
- Communicate results, findings, and strategic suggestions to technical and executive stakeholders
