Data science Pyspark and IA Generativa
Tasks
- Build and optimize data processing pipelines
- Contribute to data and AI architecture discussions
- Create technical documentation
- Design generative AI solutions
- Develop intelligent agents and LLM applications
- Develop production ready AI components
- Ensure performance reliability and maintainability
- Implement RAG solutions
- Implement guardrails for AI systems
- Integrate AI capabilities into scalable data environments
- Monitor and evaluate AI agents
- Orchestrate AI workflows
Perks/Benefits
- Career development plan
- Employee support programs
- Flexible working hours
- Fully remote
- Ongoing training
- Social benefits
- Work-life balance
Skills/Tech-stack
AI Agents | Apache Spark | Cloud Computing | Distributed Computing | Evaluation | Generative AI | Guardrails | LLM Observability | Language Models | Large Language Models | MLOps | Machine Learning | Monitoring | Orchestration | PySpark | Python | RAG | Retrieval-Augmented Generation | Spark
Education
N/A
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