Data science Pyspark and IA Generativa
Tasks
- Build and optimize data processing pipelines
- Collaborate with cross-functional teams in agile environments
- Contribute to technical documentation and best practices
- Design and develop generative AI solutions
- Develop RAG-based solutions
- Implement guardrails and orchestration frameworks
- Implement production ready AI components
- Integrate AI capabilities into scalable data environments
- Monitor and evaluate AI agents
Perks/Benefits
- Career development plan
- Employee support programs
- Flexible working hours
- Fully remote work
- Permanent employment contract
- Social benefits
- Training opportunities
Skills/Tech-stack
AI Agents | Apache Spark | Data Pipelines | Distributed Computing | Generative AI | Guardrails | High Performance | High-Performance Computing | LLM | Language Models | Large Language Models | Machine Learning | Model Evaluation | Monitoring | Observability | Performance Computing | PySpark | Python | RAG | Retrieval-Augmented Generation | Spark
Education
N/A
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