Data Scientist And Ai Engineer With Databricks
Tasks
- Build robust data pipelines
- Contribute to reusable AI assets and best practices
- Create AI agents
- Design and implement end-to-end AI solutions
- Develop scalable lakehouse architectures
- Implement Retrieval-Augmented Generation architectures
- Integrate AI capabilities into applications and business workflows
- Integrate and deploy language models
- Perform model evaluation and monitoring
- Process and enrich structured and unstructured data
Perks/Benefits
Skills/Tech-stack
Data Monitoring | Data Quality | Databricks | Delta Lake | ELT | ETL | Embeddings | Generative AI | Git | LLM orchestration | Language Models | Large Language Models | Model Evaluation | Open Source | Open-source LLMs | Postgres | Prompt engineering | PySpark | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Semantic Search | Vector Search
Education
Master of Engineering | Master of Science | Master of Science in Computer Science | Master of Science in Data Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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