AI Engineer (Machine Learning & Generative AI)
Tasks
- Apply security privacy and responsible AI controls
- Build GenAI NLP RAG and bounded agent components
- Define component boundaries and acceptance criteria
- Define model and retrieval evaluation metrics
- Design and implement Python and SQL components
- Diagnose failures and manage incident response
- Engineer batch and event driven data pipelines
- Release and support production components
Perks/Benefits
- N/A
Skills/Tech-stack
API | CI/CD | Calibration | Classification | Cloud services | Clustering | Containers | Cross-validation | Data Lineage | Data Pipelines | Drift monitoring | Embeddings | Feature Engineering | Generative AI | Hybrid search | Knowledge graphs | Kubernetes | LLMOps | Language Processing | MLOps | Machine Learning | Model Evaluation | Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | Provenance | Python | RAG | Regression | Reranking | Retrieval-Augmented Generation | SQL | Structured Output | Uncertainty Estimation | Vector Databases | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
States
Cities
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