Senior AI ML Operations Engineer

📋 Description

• Design reliable MLOps platforms and production pipelines for enterprise AI workloads.
• Build, package, deploy, and manage AI/ML services in production with reproducibility.
• Develop CI/CD pipelines to automate model deployment and promote from dev to prod.
• Provision and manage infra for training/inference using Docker, Kubernetes, serverless, and IaC.
• Implement monitoring and observability for model performance and data drift.
• Automate model retraining and data workflows to maintain quality and reliability.

🎯 Requirements

• Proven experience building and maintaining AI/ML Operations platforms for scalability and security.
• Strong experience with large-scale data across complex data platforms.
• Deep Databricks Lakehouse and MLflow experience.
• Hands-on with Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graphs.
• Experience with LangChain and LangGraph integrations.
• Strong programming in Python and SQL; cloud experience (AWS/Azure/GCP).

🎁 Benefits

• Opportunity to work on advanced AI/MLOps infrastructure at enterprise scale.
• Exposure to modern technologies across MLOps, Databricks, AI agents, and cloud platforms.
• Innovative environment encouraging experimentation and technical problem solving.
• Collaborate with experienced engineers, data scientists, and professionals across disciplines.
• Support for professional growth and expanding expertise in emerging AI/data tech.
• Inclusive culture with opportunities to contribute meaningfully.