Senior Data Scientist (Applied AI / LLM)
Tasks
- Automate data quality checks
- Build evaluation frameworks
- Build forecasting and classification models
- Communicate model trade offs and risks
- Deploy and maintain models in production
- Design and deploy LLM systems
- Develop agent based automation
- Develop risk modeling
- Ensure scalability and robustness
- Implement prompt design and evaluation
- Improve model accuracy
- Monitor and version models
- Perform anomaly detection
- Translate business needs into AI solutions
Perks/Benefits
- Collaborative work environment
- Comprehensive benefits package
- Flexible working arrangements
- Professional growth opportunities
Skills/Tech-stack
Agentic Workflows | Anomaly Detection | Azure | Classification | Forecasting | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Risk Modeling | SQL | Statistics
Education
N/A
Roles
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