Senior Machine Learning Engineer
Core
Building and deploying production LLM-powered applications and RAG systems for enterprise clients.
Role type
Senior Machine Learning Engineer (LLM/Generative AI)
Builds
LLM-powered applications, data preprocessing pipelines, and RAG systems
Domain
Applied AI, Large Language Models, Enterprise Software
Deliverable
production ML models
Required skills
LLM fine-tuning (LoRA, QLoRA), Python, FastAPI/Flask, REST/HTTP/Websockets, PyTorch, TensorFlow, SQL/NoSQL, Vector databases
Preferred skills
Competitive coding (Kaggle, ACM/ICPC), Streamlit
Technologies
FastAPI, Flask, Streamlit, PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, LlamaIndex, PostgreSQL, MongoDB, Redis, Pinecone, Weaviate, pgvector
Responsibilities
Developing and deploying ML models for live AI products, working with LLMs and RAG on business problems, building data preprocessing pipelines, monitoring and improving model performance, partnering with stakeholders on ML solutions
Seniority
Senior, hands-on IC