This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior MLOps Engineer based in India.
This is a high-impact opportunity to build the infrastructure that turns advanced machine learning models into reliable, production-ready systems.
You will operationalize ML workflows supporting energetic pricing and personalized consumer experiences at scale.
The role combines MLOps engineering, cloud-based data platforms, automated model training, monitoring, and low-latency model orchestration.
You will develop robust frameworks for drift detection, model calibration, versioning, retraining, and production monitoring.
Your work will help ML teams deploy models efficiently while maintaining reliability, reproducibility, performance, and operational visibility.
You will collaborate closely with ML Scientists and engineering stakeholders in an environment focused on automation, experimentation, and continuous improvement.




This role is ideal for an experienced MLOps professional who enjoys solving complex infrastructure challenges and building scalable ML systems from development through production.
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Accountabilities:
ML Infrastructure: Build, maintain, and scale machine learning infrastructure using Databricks, Unity Catalog, feature stores, and related technologies to support the complete ML lifecycle.
Drift Detection: Design and implement robust frameworks for detecting data and model drift, enabling proactive monitoring and reliable production performance.
Model Calibration & Versioning: Develop model calibration frameworks and establish strong versioning practices that support transparency, reproducibility, and controlled model releases.
ML Orchestration: Design and optimize orchestration pipelines for low-latency ML models, including reinforcement learning approaches such as Contextual Bandits and Q-learning.
Automated Training: Build automated pipelines and frameworks for model training, retrai

📌 Senior MLOps Engineer (India)
🏢 Jobgether
📍 India