AI Engineer
Tasks
- Analyze datasets to extract insights and build predictive models
- Design AI pipeline workflows and evaluation benchmarks
- Develop strategies to handle bias and hallucinations
- Ensure AI compliance with ethical and regulatory standards
- Fine-tune AI models monthly
- Implement ETL pipelines for structured and unstructured data
- Integrate refined models into production
- Leverage Azure AI services
- Monitor AI outputs for accuracy fairness and safety
- Optimize data storage processing and retrieval in Azure Data Lakes
- Refine outputs with prompt engineering and embedding updates
- Run experiments using A B testing and model evaluation
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AI Search | Azure AI | Azure AI Search | Azure Data | Azure Data Lake | Azure OpenAI | B testing | Big Data | Cognitive Search | Data Lake | Data Pipelines | Data Visualization | Document AI | ETL | Embeddings | Fine Tuning | Language Processing | Machine Learning | NLP | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Spacy | Statistical modeling | Vector Database
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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