AI Engineer (R&D) - LottieFiles
Tasks
- Build data pipelines for collecting cleaning and promoting production data
- Build structured generation workflows
- Build supervised datasets from production usage
- Collaborate with engineering design and product teams to improve model reliability
- Create evaluation systems for quality and correctness
- Design fine tuning strategies for generation and editing
- Develop validation and repair pipelines
- Experiment with open source language models
- Implement feedback pipelines from validation and rendered outputs
- Improve retry and self correction workflows
Perks/Benefits
Skills/Tech-stack
Data Pipelines | Distillation | Evaluation | Fine Tuning | Language Models | Large Language Models | LoRA | Model Debugging | Multi-step orchestration | Observability | Open Source | Open-source Models | Preference Tuning | Prompt engineering | Python | QLoRA | Repair workflows | Structured outputs | Supervised Fine Tuning | Synthetic data | Validation
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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