MLOps Engineer (6-10 years experience) to sit at the intersection of Data Science and Enterprise Operations — architecting, deploying, and optimizing production-grade machine learning pipelines that drive measurable improvements in our organization's MLOps maturity. This is a high-impact, technically demanding role that blends hands-on ML model development with advanced cloud infrastructure orchestration, automation engineering, and cross-functional enablement. Core Technology Stack Category Tools & Platforms ML Platforms GCP Vertex AI AWS SageMaker Azure ML Studio Orchestration Apache Airflow Kubeflow Containerization & IaC Docker Kubernetes Terraform Languages Python Bash AI/LLM Ecosystem LangChain RAG Frameworks Vector Databases Roles & Responsibilities Pipeline Architecture & Automation Design, build, and manage end-to-end automated ML pipelines — encompassing model training, deployment, batch and real-time inference, continuous monitoring, and automated retraining workflows Architect scalable,



distributed MLOps infrastructures optimized for high-performance training and inference at enterprise scale MLOps Maturity & Strategy Own and drive the MLOps initiative backlog, systematically advancing the automation maturity, security posture, and operational resilience Proactively introduce contemporary DevOps principles — CI/CD, GitOps, infrastructure-as-code — tailored to the unique demands of the Data Science lifecycle Model Monitoring & Reliability Establish proactive drift detection frameworks — monitoring both data drift and concept/model drift — to ensure sustained model accuracy and reliability in production environments Define and implement model governance standards, ensuring reproducibility, auditability, and compliance across all ML workloads API Development & Enterprise Integration Develop, test, and publish secure, high-performance REST APIs that enable seamless, production-ready integration of ML models with enterprise business applications Ensure all API impl

📌 MLOps Engineer (Bengaluru)
🏢 Nuvento Systems
📍 Bengaluru