AI ML Ops Software Engineer (Bangalore Hybrid)
Smartsheet12 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain stable and reliable AI/ML Ops platforms and pipelines.
- Package and deploy reproducible, interpretable AI/ML services to production.
- Design and implement automated model deployment pipelines.
- Provision and optimize training and serving infrastructure using Docker, Kubernetes, or serverless platforms.
- Implement monitoring for model performance, data drift, latency, and operational observability.
- 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 and CPU utilization for low-latency inference and cloud cost control.
- Collaborate with data scientists, data engineers, and software engineers to productionize models.
- Manage versioning and governance for data, code, and models.
- Implement data security measures and support compliance with data governance policies.
- Evaluate emerging data technologies, troubleshoot complex data-platform issues, and maintain platform stability.
Requirements
- 4–6 years of experience in AI/ML Ops.
- Experience building and maintaining scalable, reliable, efficient, and secure AI/ML Ops platform systems.
- Experience with enterprise SaaS software solutions requiring high availability and scalability.
- Experience handling large-scale structured and unstructured data from varied sources, including petabyte-scale data.
- In-depth experience with the Databricks Lakehouse ecosystem and AI/MLOps workflows involving 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, infrastructure-as-code tools such as Terraform, observability, monitoring, and alerting.
- Experience with cost optimization and design-to-cost practices.
- Legally eligible 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.
- Interview accommodations are available upon request.
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.