AI/ML Engineer
Tasks
- Build and deploy NLP models at scale
- Collaborate on success metrics and customer facing KPIs
- Create evaluation frameworks for generated content
- Design LLM workflows for content generation
- Develop prompt and template libraries
- Implement retrieval for evidence grounded generation
- Instrument content performance and run experiments
- Maintain data pipelines and ensure data quality
- Run offline and online evaluations and monitoring
- Transform text datasets into production features
Perks/Benefits
- N/A
Skills/Tech-stack
AEO | Data Pipelines | Evaluation | Experimentation | Factuality scoring | Guardrails | Information Retrieval | LLM monitoring | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | RAG | Red Teaming | SEO | SQL | Safety
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
Regions
Countries
States
Cities
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