AI LLM Engineer_BCSC
Tasks
- Build data governance systems
- Define data standards
- Define prompt and memory schemas
- Deliver internal training
- Design AI module architecture
- Design agent reasoning control and orchestration
- Design domain models and inference strategies
- Design memory strategies
- Design text log and document structure modeling
- Develop LLM training and fine tuning
- Develop knowledge pipelines for continuous learning
- Evaluate data quality
- Evaluate technical solutions
- Extract knowledge from unstructured data
- Implement data interaction standards
- Implement short term and long term memory
- Manage memory lifecycle
- Manage tool use workflows
- Optimize LLM inference
- Write technical design documents
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Clustering | Data Governance | Data Modeling | Data Processing | Data Quality | Deep learning | Feature Engineering | Fine Tuning | Huggingface | Knowledge Extraction | LLM Training | Language Generation | Language Processing | Machine Learning | Natural Language | Natural Language Generation | Natural Language Processing | Prompt engineering | PyTorch | Python | TensorFlow | Text Classification | Text Mining | Topic Modeling | Unstructured Data | Unstructured Data Processing | Vector Databases
Education
Roles
AI | AI/LLM Engineer | Engineer | LLM Engineer | Learning Engineer | Machine Learning Engineer | NLP Engineer
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