Data Scientist - LLM, Agentic AI & Predictive Modeling
Tasks
- Apply NLP text mining semantic search sentiment analysis embeddings knowledge graph construction
- Apply Responsible AI governance A B testing
- Apply feature engineering interpretability and performance optimization
- Build deploy computer vision and multimodal models
- Collaborate cross functionally with data engineering product and business teams
- Deploy and monitor model performance drift and bias
- Design deploy predictive models
- Develop fine tune deploy LLM and agentic systems
- Engineer train validate machine learning models in Python
- Identify develop implement LLM use cases
- Implement MLOps model lifecycle management CI CD Docker Kubernetes
- Lead prototyping MVP development and production delivery
Perks/Benefits
- 401k retirement savings plan
- Company and personal holidays
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Occasional travel for meetings
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Short-term disability
- Vision insurance
- Volunteer time off
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic AI | Anomaly Detection | Azure | B testing | CI/CD | Churn modeling | Classification | Cloud platform | Computer Vision | Deep learning | Docker | Embeddings | Fraud Detection | Generative AI | Google Cloud | Google Cloud Platform | Knowledge graphs | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Natural Language | Natural Language Processing | Object Detection | Propensity Modeling | Python | Recommender Systems | Regression | Risk Modeling | Semantic Segmentation | Sentiment Analysis | Time Series | Uplift Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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