Job Title: Lead / Principal MLOps Engineer
Job Location: Remote
Employment Type: Full time

Department: Artificial Intelligence / Cloud Engineering & Infrastructure

About the Role
We are seeking an experienced and battle-tested MLOps Engineer with 8+ years of expertise to own, scale, and maintain our end-to-end Machine Learning and Generative AI infrastructure. In this role, you will be responsible for ensuring the high availability, reliability, and continuous performance of production ML pipelines, automated monitoring systems, and model deployment workflows.

You will bridge the gap between Data Science, Data Engineering, and DevOps—building resilient infrastructure that powers production AI systems at scale.
Key Responsibilities
1. Production ML Infrastructure & Platform Ownership
Architect, deploy, and manage robust, scalable Machine Learning infrastructure across multi-cloud or hybrid environments (AWS, Azure, or GCP).
Automate CI/CD pipelines for ML models (CT/CD), ensuring seamless model deployment, rollback strategies, and zero-downtime releases.




Design and maintain feature stores, model registries, and containerized deployment runtime environments (Docker, Kubernetes/KServe).
2. Pipeline Monitoring & Operational Issue Resolution
Establish real-time telemetry, monitoring, and alerting frameworks to track system health, inference latency, GPU/CPU utilization, and pipeline throughput.
Serve as the primary escalation point for production operational incidents—rapidly diagnosing and resolving pipeline failures, data drift, and infrastructure bottlenecks.
Conduct root-cause analysis (RCA) for operational outages and implement permanent remediations to safeguard system SLAs.
3. System Reliability & Performance Optimization
Ensure strict adherence to high-availability (99.9%+ uptime), fault tolerance, and disaster recovery standards across all ML workflows.
Monitor models in production for concept drift, data drift, and latency degradation, triggering automated r

📌 Lead / Principal MLOps Engineer (Gurugram)
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📍 Gurugram