. Own the ML platform/pipelines for training, deployment, monitoring, and retraining across multiple models and teams.
Build CI/CD for ML, model registry/versioning, and standardized settings (containers, IaC, automated testing).
Implement observability and controls: drift detection, performance monitoring, alerting, and auditability.
Partner tightly with Data Science + Data Engineering to standardize handoffs and ensure scalable, governed delivery • Senior-level troubleshooting mindset: reliability, cost/performance tuning, and rapid incident resolution.
📌 Senior Mlops Engineer Hyderabad (India)
🏢 Spearsoft
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.