Data science Pyspark and IA Generativa
Tasks
- Build and optimize large-scale data processing pipelines
- Contribute to AI system architecture discussions
- Design and develop generative AI solutions
- Develop production ready AI components
- Ensure monitoring and observability for AI agents
- Evaluate AI agent performance
- Implement RAG-based solutions
- Implement guardrails for AI systems
- Integrate AI capabilities into scalable data environments
- Maintain technical documentation and best practices
Perks/Benefits
- Employee support programs
- Flexible working hours
- Fully remote
- Permanent employment contract
- Social benefits
- Training and professional development
- Work-life balance
Skills/Tech-stack
AI Agents | AI Evaluation | Apache Spark | Data Pipelines | Distributed Systems | Generative AI | LLM monitoring | Language Models | Large Language Models | Learning operations | Machine Learning | Machine Learning Operations | Observability | Orchestration | PySpark | Python | RAG | Retrieval-Augmented Generation | Spark
Education
N/A
Roles
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