Related skills
docker python kubernetes rest fastapi📋 Description
- Design and implement traditional ML and LLM-based systems and applications
- Optimize model inference performance and cost efficiency
- Fine-tune foundation models for specific use cases
- Implement diverse prompt engineering strategies
- Build robust backend infrastructure for AI-powered applications
- Implement and maintain MLOps pipelines for AI lifecycle management
🎯 Requirements
- 4–8 years of experience in LLMs, backend engineering, and MLOps
- LLM expertise
- Model fine-tuning: LoRA, QLoRA, adapters
- Inference optimization: quantization, pruning, caching
- Prompt engineering: few-shot, RAG
- Backend engineering with Python, FastAPI/Flask
🎁 Benefits
- Competitive salary
- Insurance coverage
- Learning & development resources
- Growth opportunities
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!