Senior AI Engineer
Tasks
- Advise AI architecture decisions
- Assess data strategy and labeling effort
- Conduct cost versus accuracy tradeoff analysis
- Define cost latency accuracy business cases
- Design evaluation harness and scoring rubric
- Design multi task NLP pipelines
- Design production AI pipelines
- Guide model selection benchmarking
- Identify risks vendor lock in model drift data governance compliance
- Implement LLM and SLM fine tuning strategies
- Review MLOps requirements
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Batching | Classification | Correlation | Document processing | Entity recognition | Fine Tuning | Information Extraction | LLMOps | Language Models | Language Processing | Large Language Models | Latency benchmarking | MLOps | Machine Learning | Model versioning | Named Entity Recognition | Natural Language | Natural Language Processing | Quantization | RAG | Retrieval-Augmented Generation | Small Language Models
Education
N/A
Roles
AI Consultant | AI Engineer | Consultant | Engineer | Senior AI Consultant | Senior AI Engineer
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