Principal ML Engineer - USA
Tasks
- Build scalable AI ML solutions for user interest and habit modeling
- Develop AI ML capabilities for personalization and insights
- Develop AI ML tools and workflows for large dataset management
- Implement feedback loops and recovery for AI failures
- Integrate AI/ML features with cross-functional teams
- Mentor and guide engineering team
- Optimize AI ML solutions for cost quality and speed tradeoffs
- Process mail data with machine learning for analytics insights
- Run A B tests and analyze model impact
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Big Data | C++ | CI/CD | Feature Engineering | Feature Store | Feature Stores | Fine Tuning | GPU Optimization | Generative AI | Hadoop | Java | LLMOps | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Natural Language | Natural Language Processing | Observability | Prompt engineering | PyTorch | Python | RAG | Scikit-learn | Spark | Telemetry | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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