Data Scientist II
Tasks
- Build retrieval-augmented generation pipelines
- Collaborate with business to design data science solutions
- Communicate insights to technical and non-technical stakeholders
- Create semantic layers and ontologies
- Deploy LLM-powered applications
- Develop machine learning predictive models
- Implement AI evaluation frameworks
- Mitigate model hallucinations
- Partner on scalable production pipelines
- Validate models using benchmarks
Perks/Benefits
- N/A
Skills/Tech-stack
Claude SDK | Context Management | Databricks | Delta Lake | Delta Sharing | Embeddings | Experiment tracking | Faiss | FastAPI | Hallucination mitigation | LLMOps | Langgraph | Language Models | Large Language Models | MLflow | Machine Learning | Model Monitoring | Ontology | OpenSearch Vector | PGVector | Pinecone | Predictive Modeling | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic layer | Spark | Tool-Calling | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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