- Build and maintain CI/CD pipelines for ML systems.
- Debug ML pipeline failures and production issues.
- Automate deployment and infrastructure workflows.
- Deploy and maintain ML pipelines and production systems.
- Collaborate across DevOps, backend, and ML teams.
Preferred candidate profile
- Experience in DevOps, ML, or MLOps.
- Understanding of ML algorithms and pipelines.
- Knowledge of CI/CD and automation.
- Experience with cloud infrastructure and production systems.
- Robust debugging and problem-solving skills.
📌 DevOps Engineer - MLOps at A FinTech Company (Pune)
🏢 Talentzo Delhi
📍 Pune
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