Senior MLOps Engineer

Overview

Optimize machine learning deployments as a Senior MLOps Engineer, managing scalable platforms and collaborating on AI‑driven solutions. Lead transformation of financial products with your technical expertise. In this high‑impact role, you will be responsible for building, maintaining, and optimizing ML inference pipelines using state‑of‑the‑art technologies. Your work will ensure that models effectively serve millions while promoting best practices within the team. Engage in mentoring and take the lead in modernizing ML infrastructure as well as processes.

Key Responsibilities

• Design batch and real‑time ML pipelines with various models
• Oversee ML model tracking and registry platforms
• Champion AI tools integration into workflows
• Manage infrastructure using Terraform across cloud services
• Mentor junior engineers through code reviews and guidance

Requirements

• 7+ years in software or platform engineering
• 3+ years in production ML systems
• Proficiency with AWS and Terraform required
• Experience using ML experiment tracking tools
• Strong skills in Python and SQL