Project Leader
Job Description
- Own LLM features end to end: prompts, retrieval, tool use, and APIs
- Build and tune models with classical ML, deep learning, and neural networks
- Ability to use Hugging Face models and datasets for fine-tuning, inference, and evaluation
- Deploy and run models on AWS (including Amazon Bedrock) and Azure
- Set up MLOps for training, versioning, deployment, monitoring, and rollback
- Build RAG pipelines: chunking, embeddings, retrieval, and grounding
- Measure quality with test sets, metrics, and regression checks before release
- Debug latency, cost, hallucination, and data issues in production
- Write clean, tested Python services and integrate them with existing backends
More Info
Key Skills
rollback
embeddings
LLM features
classical ML
chunking
Hugging Face models
retrieval
prompts retrieval tool
RAG pipelines
Amazon Bedrock

