Senior AI ML Operations Engineer I
Smartsheet1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain stable, reliable AI/ML Ops platforms and pipelines.
- Package and deploy AI/ML services to production with reproducible and interpretable deployments.
- Design and implement automated model deployment pipelines and infrastructure using Docker, Kubernetes, and cloud or serverless platforms.
- Implement monitoring and observability for model performance, data drift, latency, and production reliability.
- Automate model retraining and data pipeline workflows.
- Manage foundation-model deployments, fine-tuning workflows, and RAG stacks involving vector databases and knowledge graphs.
- Optimize GPU/CPU utilization, inference latency, and cloud infrastructure costs.
- Manage versioning and governance for data, code, and models.
- Implement data security and support compliance with data governance policies.
- Collaborate with data scientists, data engineers, and software engineers to productionize models and resolve complex data-platform issues.
- Evaluate emerging data technologies and improve the organization’s data infrastructure.
Requirements
- Experience with enterprise SaaS solutions requiring high availability and scalability.
- Experience handling large-scale structured and unstructured data from varied sources.
- Experience building and maintaining scalable, reliable, efficient, and secure AI/ML Ops platforms.
- In-depth experience with AI/ML frameworks and tools for petabyte-scale data in the Databricks Lakehouse ecosystem.
- Experience with Databricks AI/MLOps workflows, MLflow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, and Knowledge Graph.
- Knowledge of LangChain and LangGraph for AI/ML Ops pipeline integration.
- Hands-on experience with at least one major cloud provider: AWS, Azure, or GCP; AWS-hosted data-platform experience is preferred.
- Programming experience with Python and SQL.
- Experience with Kubernetes, infrastructure-as-code tools such as Terraform, CI/CD, observability, monitoring, and alerting.
- Experience with solution cost optimization and design-to-cost practices.
- Experience with Monte Carlo and AWS Bedrock is preferred.
- Legally eligible to work in India on an ongoing basis.
Benefits
- Remote work arrangement is indicated by the #LI-Remote designation.
Tech Stack
Categories
About Smartsheet
Smartsheet builds a cloud-based enterprise work management platform for project and portfolio tracking, automation, reporting, and collaboration used by business and IT teams. It sells SaaS subscriptions with premium capabilities and add-ons, and integrates with tools like Microsoft 365, Google Workspace, and Slack. Founded in 2005 and headquartered in Bellevue, Washington, Smartsheet is publicly traded on the NYSE (SMAR) and owns Brandfolder, a digital asset management product.