Senior Engineer - MLOps

Job Summary

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