Senior AI/ML Ops Engineer I(Hybrid Bangalore India)
Smartsheet13 hours ago
Bengaluru, IndiaSenior / Staff+
Responsibilities
- Design, develop, and maintain stable and reliable AI/ML Ops platforms and pipelines.
- Package and deploy reproducible and interpretable AI/ML services to production.
- Design and implement automated CI/CD pipelines for model deployment.
- Provision and optimize training and serving infrastructure using Docker, Kubernetes, or serverless platforms.
- Implement monitoring and observability for model performance, data drift, and latency, including potential use of Monte Carlo.
- Automate model retraining and data pipeline workflows.
- Manage foundation-model deployment, fine-tuning workflows, and RAG stacks involving vector databases and knowledge graphs.
- Optimize GPU/CPU utilization and cloud costs while maintaining low-latency inference.
- Collaborate with data scientists, data engineers, and software engineers to move models from development into production.
- Manage data, code, and model versioning and governance using tools such as MLflow.
- Implement data security measures and support compliance with data governance policies.
- Evaluate emerging data technologies, troubleshoot complex data-platform issues, and improve platform stability and reliability.
Requirements
- 7–12 years of experience designing, developing, and maintaining AI/ML Ops platforms or pipelines.
- Experience with enterprise SaaS software solutions requiring high availability and scalability.
- Experience handling large-scale structured and unstructured data from varied sources.
- In-depth experience with AI/ML frameworks and tools for large petabyte-scale datasets 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, 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.
- Smartsheet describes an inclusive environment with opportunities for impact, exploration, and professional growth.
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.