Principal Data Scientist (AI)
Tasks
- Apply emerging AI technologies
- Create impact driven proof of concepts
- Define AI technical and product roadmap
- Deliver AI models in production
- Design scalable AI applications
- Develop real time ML models for personalization and rewards
- Evaluate model quality and performance
- Mentor data scientists
- Operationalize and maintain ML models
- Optimize ML development lifecycle trade offs
- Scale AI empowered applications
- Translate business needs into technical requirements
Perks/Benefits
- Continuous training
- Development feedback
- Hybrid work
- Meal allowance
- Onboarding buddy
- Private health insurance
- Remote options
- Unlimited Udemy access
Skills/Tech-stack
Apache Flink | Apache Kafka | Apache Spark | Causal Inference | Constraint Optimization | Deep learning | Delta Lake | Graph Learning | MLOps | Machine Learning | Model Evaluation | NoSQL | Personalization | Python | Recommendation Systems | Reinforcement Learning | Time Series | Uplift Modeling
Education
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