Senior Engineer - MLOps

A company is looking for a Senior Engineer - LLMOps & MLOps.

Key Responsibilities

Build and maintain automated CI / CD and CT pipelines across AWS and Azure

Design and execute the infrastructure for Retrieval-Augmented Generation (RAG) and vector database management

Implement systemized frameworks for LLM evaluation and traditional ML validation

Qualifications

Bachelor's degree in Computer Science or a related field; Master's degree in a quantitative discipline is highly desirable

6+ years of engineering experience, with at least 3 years focused on MLOps or LLMOps in a production environment

Hands-on proficiency in AWS and Azure ecosystems

Expertise in Python, SQL, and PySpark, along with experience in containerization and orchestration tools

Strong understanding of statistical validation and model evaluation metrics