Lead / Principal MLOps Engineer (India)

Lead / Principal MLOps Engineer (India)

10 Aug
|
solve IT consultant
|
India

10 Aug

solve IT consultant

India

Job Title: Lead / Principal MLOps Engineer
Job Location: Remote (Client location Gurugram/Chennai)
Experience Level: 8+ Years
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 fo

📌 Lead / Principal MLOps Engineer (India)
🏢 solve IT consultant
📍 India

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