AI ML Ops Software Engineer (Bangalore Hybrid)
Smartsheet4 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain stable and reliable AI/ML Ops platforms and pipelines.
- Package and deploy AI/ML services and foundation models to production using reproducible and interpretable workflows.
- Design and implement automated CI/CD, retraining, and data pipeline workflows.
- Provision and optimize infrastructure for model training and serving using Docker, Kubernetes, and serverless platforms.
- Implement monitoring and observability for model performance, data drift, and latency.
- Manage fine-tuning workflows and Retrieval-Augmented Generation stacks, including vector databases and knowledge graphs.
- Optimize GPU and CPU utilization to reduce cloud costs while maintaining low-latency inference.
- Manage versioning and governance for data, code, and models.
- Implement data security measures and support compliance with data governance policies.
- Troubleshoot complex data-platform issues and evaluate emerging technologies to improve infrastructure.
- Collaborate with data scientists, data engineers, and software engineers to productionize models.
Requirements
- 4–6 years of experience in AI/ML Ops.
- Experience building and maintaining scalable, reliable, efficient, and secure AI/ML Ops platforms.
- Experience with enterprise SaaS solutions, high availability, scalability, and large-scale structured and unstructured data.
- In-depth experience with AI/ML frameworks and tools for large petabyte-scale data in 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.
- Proficiency in Python and SQL.
- Experience with Kubernetes, CI/CD, infrastructure-as-code tools, preferably Terraform, observability, monitoring, and alerting.
- Experience with solution cost optimization and design-to-cost practices.
- Experience with Monte Carlo is preferred.
- Legal eligibility to work in India on an ongoing basis.
Benefits
- Bangalore hybrid work arrangement.
- Inclusive equal-opportunity workplace with support for diverse perspectives and nontraditional career paths.
- Opportunities to explore, grow, and make a meaningful impact at Smartsheet.
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.