Data science Pyspark and IA Generativa
Tasks
- Build and optimize large-scale data processing pipelines
- Collaborate with cross-functional teams in Agile
- Contribute to data and AI platform architecture
- Create technical documentation and best practices
- Design and develop generative AI solutions
- Develop production ready AI components
- Implement RAG-based solutions
- Implement guardrails and orchestration frameworks
- Integrate AI capabilities into scalable data environments
- Monitor observability and evaluate AI agents
Perks/Benefits
- Career development plan
- Employee support programs
- Flexible working hours
- Fully remote
- Ongoing training
- Social benefits
Skills/Tech-stack
AI Agents | AI monitoring | Apache Spark | Cloud Computing | Data Processing | Data Processing Pipelines | Distributed Computing | Generative AI | Guardrails | LLM | Language Models | Large Language Models | Machine Learning | Model Evaluation | Observability | Orchestration | Processing pipelines | Production Deployment | PySpark | Python | RAG | Retrieval-Augmented Generation | Spark
Education
N/A
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