Senior Machine Learning Engineer
Tasks
- Build RAG architectures and agentic workflows
- Build automated quality gates for LLM outputs
- Deploy and serve LLM systems
- Design build ship production LLM pipelines
- Develop evaluation harnesses and regression testing
- Implement model fine tuning workflows
- Implement tool calling systems
- Optimize inference with quantization and ONNX
- Optimize latency and cost with caching batching and model routing
- Own data pipelines retrieval orchestration and APIs
- Prepare instruction data pipelines for multilingual and Indic languages
- Set up human in the loop evaluation
Perks/Benefits
Skills/Tech-stack
API Development | AWQ | Caching | Cost Optimization | DPO | Data Pipelines | DeepSpeed | Evaluation | FSDP | Fine Tuning | GPTQ | Human-in-the-loop | Langchain | Langgraph | Language Models | Large Language Models | Latency optimization | LoRA | Model Fine-tuning | Model routing | ONNX | Orchestration | Prompt Optimization | Python | QLoRA | Quantization | RAG | Regression testing | Request batching | Retrieval | SFT | TGI | The Loop | Tool-Calling | VLLM
Education
N/A
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