Data science Pyspark and IA Generativa
Tasks
- Build and optimize large-scale data processing pipelines
- Design and develop generative AI solutions
- Document technical best practices
- Implement AI guardrails
- Implement retrieval-augmented generation solutions
- Integrate AI capabilities into scalable data environments
- Maintain production ready AI components
- Monitor and evaluate AI systems
- Orchestrate LLM applications
Perks/Benefits
Skills/Tech-stack
AI Agents | Apache Spark | Artificial Intelligence | Cloud Computing | Data pipeline | Distributed Computing | Generative AI | LLM Evaluation | Language Models | Large Language Models | Machine Learning | Model Monitoring | Observability | Orchestration | PySpark | Python | RAG | Retrieval-Augmented Generation | Spark
Education
N/A
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