Data Scientist III
Tasks
- Build embedding pipelines and vector database architectures
- Build predictive models and advanced analytics
- Collaborate with business to design develop deploy AI solutions
- Communicate insights to technical and non-technical stakeholders
- Deploy scalable AI systems with model monitoring and evaluation
- Develop LLM-powered applications
- Develop and deploy AI or ML services with FastAPI
- Develop semantic layers ontologies and contextual data frameworks
- Implement AI evaluation frameworks and benchmark validation
- Implement retrieval-augmented generation pipelines
- Mentor junior data scientists and share knowledge
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Apache Spark | Context Management | CrewAI | Data Modeling | Databricks | Delta Lake | Embeddings | Evaluation workflows | Experiment tracking | Faiss | FastAPI | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLflow | Machine Learning | Model Deployment | Model Monitoring | Ontologies | Ontology Design | OpenSearch Vector | PGVector | Pinecone | Predictive Modeling | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic data | Semantic data modeling | Tool-Calling | Vector Databases | Weaviate
Education
N/A
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