Who We Are

Sirion is the world’s leading AI-native Contract Lifecycle Management (CLM) platform, transforming the end-to-end contracting journey for global enterprises. With Agentic AI at the core, Sirion’s extraction, conversational search, and AI-enhanced negotiation capabilities are redefining how Fortune 500 companies like IBM, Coca-Cola, Citi, and GE manage contracts. With 800+ employees worldwide—AI engineers, legal experts, and researchers—we are continuously innovating to build the most reliable and trustworthy CLM for the enterprises of tomorrow. Sirion is consistently recognized by Gartner, IDC, and Spend Matters as a category leader in CLM innovation.

To learn more, visit www.sirion.ai.

Power the Future of AI & Why This Role Matters

As an MLOps Engineer, you will play a critical role in enabling reliable, scalable, and governed machine learning systems in production. You will be responsible for building and operating the platforms, pipelines,



and infrastructure that allow ML and LLM models to move safely from experimentation to real-world deployment.This role sits at the intersection of machine learning, cloud infrastructure, and platform engineering, and directly impacts the speed, quality, and trustworthiness of AI systems across the organization.

How You’ll Make an Impact

Build, automate, and maintain end-to-end MLOps pipelines, including data ingestion, preprocessing, model training, validation, deployment, and inference.
Design, develop, and operate CI/CD workflows for machine learning, supporting model versioning, artifact management, lineage tracking, and automated rollback strategies.
Create and maintain internal MLOps platforms and self-service tools that enable data scientists and ML engineers to deploy models with minimal operational overhead.
Deploy, manage, and optimize ML and LLM inference services in production, including GPU-accelerated workloads.
Establish comprehensive monitoring, alerting, and observability for model performance,

📌 ML Ops Engineer (Gurugram)
🏢 Sirion
📍 Gurugram