Principal Data Scientist
Tasks
- Apply emerging AI technologies
- Architect AI applications
- Build ML/DL models
- Conduct PoCs to demonstrate value
- Define AI technical roadmap
- Deliver AI models in production
- Implement MLOps for production systems
- Mentor data scientists
- Optimize ML development lifecycle
- Own end-to-end AI projects
Perks/Benefits
- 360-degree feedback
- Continuous training
- Family support
- Health and life insurance
- Hybrid work model
- Meal allowance
- Onboarding buddy
- Unlimited Udemy access
Skills/Tech-stack
Apache Flink | Apache Kafka | Apache Spark | Computer Vision | Deep learning | Delta Lake | Graph Learning | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | NoSQL | Python | Recommendation Systems | Reinforcement Learning | Time Series
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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