Principal AI Engineer
Tasks
- Apply emerging AI ML engineering techniques
- Architect AI and machine learning systems
- Build data ingestion preprocessing and feature engineering workflows
- Deploy models to production
- Design AI ML model optimization and deployment strategy
- Ensure scalability, reliability, and compliance
- Mentor engineers and share best practices
- Prototype scalable maintainable AI ML models
- Translate business needs into AI ML engineering solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Autogen | Azure | CI/CD | CrewAI | Databricks | Deep learning | FastAPI | Fine Tuning | Guardrails | JSON | Keras | Knowledge Distillation | LLM Fine-tuning | LLMOps | Langgraph | Language Processing | MLflow | Machine Learning | Model Evaluation | Model Quantization | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PySpark | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Spacy | Transformers | Unix/Linux | Vector Database
Education
N/A
Roles
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