Principal AI Engineer
Tasks
- Architect AI and machine learning systems
- Deploy models into production
- Design data ingestion preprocessing and feature engineering workflows
- Develop AI ML model optimization strategy
- Ensure scalability, reliability, and compliance
- Improve LLM operations and deployment pipelines
- Monitor and optimize retrieval augmented generation solutions
- Prototype and research scalable maintainable AI ML models
- Provide technical mentorship
- Translate business needs into AI/ML solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Validation | AgentOps | Agentic AI | Apache Spark | Autogen | Azure | CI/CD | Context Management | CrewAI | Databricks | Deep learning | Docker | FastAPI | Fine Tuning | Graph RAG | Guardrails | JSON | Keras | LLM Evaluation | LLM Fine-tuning | LLMOps | Langgraph | Language Processing | MLOps | MLflow | Machine Learning | Model Distillation | Model Quantization | Natural Language | Natural Language Processing | NumPy | Pandas | Parallel processing | Prompt engineering | PySpark | PyTorch | Python | RAG | Scikit-learn | Spacy | Transformers | Unix | Vector Databases
Education
N/A
Roles
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