Senior Machine Learning Engineer
Core
Design, build, and ship production-grade LLM-powered systems for personalized learning in Indian languages and local educational contexts.
Role type
Senior Machine Learning Engineer (0-to-1 build)
Builds
Production microservices, RAG pipelines, agentic workflows, and evaluation harnesses for educational applications.
Domain
EdTech, Large Language Models, Indic Languages
Deliverable
production ML models
Required skills
Production-grade Python, RAG architecture, Agentic workflow orchestration, Automated evaluation frameworks, Backend API development, Cloud infrastructure deployment
Preferred skills
Model fine-tuning (LoRA, QLoRA, SFT, DPO), Inference optimization (quantization, ONNX), Distributed training frameworks (DeepSpeed, FSDP)
Technologies
Python, LangChain, LangGraph, vLLM, TGI, DeepSpeed, FSDP, ONNX
Responsibilities
Architect and deploy robust LLM applications (RAG, multi-step agentic workflows); Own data pipelines, retrieval layers, orchestration layers, and service infrastructure; Build task-specific benchmarks and human-in-the-loop evaluation loops; Implement prompt optimization, caching, and model routing for latency and cost efficiency; Build and scale data preparation pipelines for multilingual and Indic language sources.
Seniority
Senior, hands-on IC