Senior AI/ML Ops Engineer-II (Hybrid in Bangalore)
Smartsheet30 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and oversee scalable and reliable AI/ML Ops platform and pipeline architecture.
- Package and deploy reproducible, interpretable AI/ML services to production.
- Build automated CI/CD pipelines for model deployment and automate retraining and data-pipeline workflows.
- Provision and optimize training and serving infrastructure using Docker, Kubernetes, and serverless platforms.
- Implement monitoring and observability for model performance, data drift, latency, and production reliability.
- Manage foundation-model deployment, fine-tuning workflows, RAG stacks, vector databases, and knowledge graphs.
- Optimize GPU/CPU utilization, inference latency, and cloud costs.
- Partner with data scientists, data engineers, and software engineers to connect model development with production systems.
- Manage data, code, and model versioning and implement data security, governance, and compliance controls.
- Evaluate emerging data technologies, troubleshoot complex data-platform issues, and improve platform stability.
Requirements
- Experience with enterprise SaaS software 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.
- Experience influencing product-engineering designs for data, AI, and analytics use cases.
- In-depth experience with system design, AI/ML frameworks, large petabyte-scale data, and the Databricks Lakehouse ecosystem.
- Experience with Databricks AI/ML Ops 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, CI/CD, infrastructure-as-code tools such as Terraform, observability, monitoring, and alerting.
- Experience with solution cost optimization and design-to-cost practices.
- Legally eligible to work in India on an ongoing basis.
Benefits
- Hybrid work arrangement in Bangalore, India.
- Opportunities to work across multiple teams and disciplines in Smartsheet’s India Global Capability Center.
- Professional growth, ownership, and support for diverse and nontraditional career paths.
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.