- to attitude**to design and deliver production-grade intelligent backend systems.
Key Responsibilities :
- Fine-tune and adapt existing ML/LLM models for domain-specific use cases :
- Implement transfer learning pipelines for production workloads Integrate LLMs and ML models into backend systems
- Build model inference and serving infrastructure Develop data pipelines for training and fine-tuning Optimize inference performance and latency Architect reusable AI backend components
- Take ownership from design → deployment
Required Skills :
- Solid Python backend development experience Experience building REST APIs (FastAPI / Flask / AsyncIO) Hands-on AI Engineering / ML integration experience Experience with model fine-tuning and transfer learning :
- Experience working with pretrained models (LLMs, NLP, CV, or embeddings) :
- Knowledge of ML lifecycle and model serving Experience with PostgreSQL / NoSQL databases
- Understanding of async architecture and background workers Strong debugging and system design skills