Senior AI Engineer - LLMOps

Job Summary

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

Key Responsibilities

• Own the production lifecycle of AI initiatives and ensure deployability, observability, and scalability of LLM applications and ML models
• Build and maintain automated CI/CD and Continuous Training pipelines across AWS and Azure
• Implement frameworks for model evaluation and deploy real-time monitoring for model performance and cost management

Required 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
• Deep proficiency in AWS and Azure ecosystems, including configuration of Bedrock and Azure OpenAI services
• Expertise in Python, SQL, PySpark, and experience with containerization and orchestration tools
• Strong understanding of statistical validation and model evaluation metrics