AI Developer
Tasks
- Build Python backend services
- Build data preprocessing workflows
- Build local inference systems
- Build supervised fine tuning pipelines
- Create CI CD pipelines for offline ML models
- Deploy and maintain offline and air gapped models
- Implement LoRA and QLoRA fine tuning
- Integrate with relational databases
- Manage model registries and versioning
- Optimize GPU usage
- Optimize tokenization and long context handling
- Quantize and optimize model performance
- Train and fine-tune LLMs
- Use Hugging Face Transformers for training and inference
Perks/Benefits
Skills/Tech-stack
AWQ | Azure DevOps | BitsAndBytes | CI/CD | CUDA | CUDNN | Docker | Fine Tuning | GPTQ | GPU Optimization | Gguf | Git | Hugging Face | Hugging Face Datasets | Hugging Face Transformers | LoRA | Model Quantization | MySQL | Ollama | OpenXML | Pandas | PostgreSQL | PyTorch | Python | Python-docx | QLoRA | Scikit-learn | Supervised Fine Tuning | TensorFlow | Text Generation | Text generation inference | Tokenization | VLLM | XML | XSD
Education
N/A
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer
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