ML Engineer / AI Platform Lead
Tasks
- Build retrieval augmented generation pipeline
- Create per tenant system prompts and task routing
- Deploy and optimize large language model for production inference
- Design feedback collection pipeline for training data
- Evaluate models and run A B testing
- Generate embeddings and manage vector storage
- Implement cross encoder reranking and context assembly
- Implement structured JSON output parsing with fallbacks
- Implement tenant scoped LoRA training workflow
- Iterate prompts with domain experts
- Monitor inference quality and latency per tenant
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Continuous batching | Cross Encoder Reranking | Cross-Encoder | DeBERTa | Document chunking | Embedding Generation | FastAPI | Fine Tuning | JSON | Language Models | Large Language Models | LoRA | Low Latency | Low-latency serving | Model Evaluation | Model Quantization | Prompt engineering | PyTorch | Python | QLoRA | Retrieval-Augmented Generation | Structured Output | Text Generation | Text generation inference | Transformers | VLLM | Vector Databases
Education
N/A
Roles
AI | AI Platform Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Platform Lead
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