Role Overview :
to attitudeto 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 Robust debugging and system design skills