Job Overview

An ML engineer at IFS combines software engineering, DevOps, and AI/ML expertise to design and maintain scalable AI infrastructure, develop and deploy ML pipelines, and serve models at scale.

Responsibilities

• Design, develop, and maintain high-performance, scalable AI/ML infrastructure.
• Build and execute efficient ML pipelines and serve models at scale.
• Collaborate closely with data scientists, data engineers, architects, and DevOps engineers to create production-ready solutions.
• Continuously monitor and improve model performance, implementing monitoring, observability, and drift detection.
• Expand knowledge of AI infrastructure and share insights to guide others.

Qualifications

• Strong proficiency in Python and relevant libraries (NumPy, Pandas, Kserve, etc.); knowledge of additional languages like Go, C#, or SQL is a plus.
• Experience with cloud platform...