DS/ML Intern
Tasks
- Build evaluation systems for AI features
- Calibrate automated scores against human judgment
- Create evaluation backbone with failure taxonomies LLM as judge rubrics and golden datasets
- Ensure automated scoring remains accurate as models and prompts change
- Implement statistical rigor for measurement and signal quality
- Monitor model performance and latency for reliable low latency serving
- Move from heuristic scoring to calibrated monitored systems
- Route work across models balancing cost quality and latency
- Run experiments to justify routing choices and detect regressions
- Support MLOps workflows feature pipelines model versioning rollouts and monitoring drift and quality decay
- Transform noisy real world signals into trusted scores
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Applied statistics | Data Pipelines | Drift monitoring | Entity Matching | Experimentation | Inference Optimization | Information Retrieval | LLM API | LLM API integration | LLM prompting | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model routing | Model versioning | Python | Record Linkage | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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