Principal Software Engineer
Tasks
- Build ML and AI LLM workflows
- Conduct design reviews and architecture discussions
- Create feature engineering and embeddings pipelines
- Design and build large scale batch and streaming data pipelines
- Develop data modeling and ETL ELT strategies
- Ensure data quality observability performance and security
- Implement data lake and warehouse solutions
- Implement vector data and inference pipelines
- Mentor engineers
- Support scalable model training and deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Flink | Apache Spark | Automated retraining | Cloud platform | Data Drift | Data Drift Detection | Data Modeling | Data Warehousing | Delta Lake | Drift Detection | ELT | ETL | Google Cloud | Google Cloud Platform | High Availability | Java | Kafka | MLOps | Machine Learning | Microsoft Azure | Model Monitoring | Prompt orchestration) | PySpark | Python | RAG | SQL | Scalable systems | Spark Structured Streaming | Structured Streaming | Vector Databases
Education
N/A
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