This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI ML Operations Engineer based in India.
This role offers the opportunity to build and scale reliable AI/ML operations platforms supporting enterprise-grade applications and data workloads.
You will bridge the gap between machine learning development and production through robust deployment, automation, observability, and infrastructure practices.
The position involves managing large-scale structured and unstructured data across modern cloud and lakehouse environments.
You will work with advanced AI/ML technologies, including Databricks, MLflow, LangChain, LangGraph, RAG, vector search, and knowledge graph capabilities.
A key focus will be improving platform reliability, scalability, security, performance, and cost efficiency across the AI lifecycle.
You will collaborate closely with data scientists, data engineers, and software engineers while driving modern engineering and AI-native practices.




This is a high-impact opportunity to shape production AI infrastructure in a fast-moving, innovation-focused workplace.
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Accountabilities
Design, develop, and maintain stable, scalable, secure, and reliable AI/ML Operations platforms and production pipelines.
Package, deploy, and manage AI/ML services and models in production environments, ensuring reproducibility, reliability, and interpretability.
Design and implement automated CI/CD pipelines to streamline model deployment and operational workflows.
Provision, configure, and optimize infrastructure for AI/ML training and inference using Docker, Kubernetes, serverless technologies, and infrastructure-as-code practices.
Implement monitoring and observability for model performance, data drift, latency, reliability, and platform health, including the use of tools such as Monte Carlo where appropriate.
Automate model retraining, data workflows, and operational processes to maintain mode

📌 Senior AI ML Operations Engineer (India)
🏢 Jobgether
📍 India