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 pipelinesfor 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:
- Strong 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