GenAI Engineer
Tasks
- Build RAG pipelines
- Collaborate with cross-functional teams
- Create embeddings and indexing
- Develop Python generative ai applications
- Document requirements and specifications
- Evaluate RAG pipelines
- Implement and optimize generative AI models
- Integrate AI features into systems and applications
- Integrate multiple data sources
- Manage GPU memory and optimize performance
- Perform chunking reranking and prompting
- Test and troubleshoot solutions
- Use GPU compute on cloud platforms
- Use GitHub and Jira for project work
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Artificial neural networks | Azure | Data Structures | Databricks | Deep learning | Embeddings | Evaluation | GPU Computing | GitHub | Information Extraction | Jira | Jupyter | Knowledge graph | Language Processing | Machine Learning | NLTK | Natural Language | Natural Language Processing | Neural Networks | NumPy | Object-Oriented | Object-oriented design | Pandas | Prompt engineering | Python | RAG | Reranking | SQL | SQL Server | Scikit-learn | Spark | Supervised Learning | Text Mining | Topic Modeling | Unsupervised Learning | Vector indexing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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