MLOps Support Engineer

Description: The MLOps Support Engineer ensures AI/ML systems remain stable and supportable in production environments. Focus on maintaining continuous performance of ML models and associated pipelines with minimal disruption. Requirements: Experience in operations, DevOps, SRE, or platform support roles. Strong troubleshooting skills in production environments. Proficiency in SQL and scripting (Python, Bash). Familiarity with Cloud-hosted systems (AWS, GCP, Azure). Solid understanding of Git and version control. Comfortable working from runbooks and structured processes. Benefits: Opportunity to work in a mission-driven, people-centric, and innovative environment. Engage in meaningful work that transforms lives and contributes to a global community.