Senior AI ML Operations Engineer

📋 Description

• Design, deploy, and maintain stable AI/ML operations platforms.
• Package and manage AI/ML services in production for reliability.
• Build automated CI/CD pipelines for model deployment.
• Provision and optimize infra for AI/ML training/inference.
• Monitor model performance, data drift, and platform health.
• Automate retraining and data workflows to sustain accuracy.

🎯 Requirements

• Proven experience with enterprise SaaS, high availability, scalability.
• Strong track record in AI/ML operations at scale.
• Hands-on with Databricks Lakehouse, MLflow, LangChain/LangGraph.
• Experience with AWS, Azure, or GCP; AWS preferred.
• Proficient in Python and SQL; Kubernetes, Docker, CI/CD, IaC.
• IaC tooling (Terraform) and observability practices.

🎁 Benefits

• Competitive compensation; enterprise-scale projects.
• Exposure to Databricks, Lakehouse, MLflow, LangChain, LangGraph.
• Opportunity to innovate and grow in AI-native engineering.