Senior Data Scientist
Tasks
- Build RAG systems
- Build production grade machine learning models
- Collaborate across data science and engineering teams
- Conduct root cause analysis for model performance
- Create data science platform primitives
- Develop AI and machine learning systems
- Handle data quality and signal drift
- Implement model experimentation evaluation and monitoring
- Integrate generative AI and LLM workflows
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Anomaly Detection | Apache Airflow | Apache Spark | Databricks | Deep learning | Distributed Systems | Embeddings | Experimentation | Feature Engineering | Fraud Detection | Kafka | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Probabilistic Modeling | Python | RAG | SQL | Series modeling | Snowflake | Streaming Data | Time Series | Time Series Modeling | Transformers | Vector Databases
Education
N/A
Roles
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