Data science Pyspark and IA Generativa
Tasks
- Build data processing pipelines
- Collaborate with cross-functional teams
- Contribute to data and AI platform architecture
- Design generative AI solutions
- Develop production ready AI components
- Evaluate AI models
- Implement AI guardrails
- Implement RAG solutions
- Improve automation across data and AI workflows
- Integrate AI capabilities into data environments
- Maintain technical documentation
- Optimize distributed data processing
- Orchestrate AI workflows
- Set up monitoring and observability
Perks/Benefits
- Career development plan
- Employee support programs
- Flexible working hours
- Fully remote
- Social benefits
- Training and professional growth
- Work-life balance
Skills/Tech-stack
AI orchestration | Agentic AI | Apache Spark | Cloud Computing | Data Pipelines | Distributed Computing | Generative AI | Guardrails | High Performance | High-Performance Computing | LLM | Langchain | Language Models | Large Language Models | Machine Learning | Model Evaluation | Monitoring | Observability | Performance Computing | PySpark | Python | RAG | Retrieval-Augmented Generation | Spark | Vector Databases
Education
N/A
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