AI ML Ops Software Engineer (Bangalore Hybrid)
About this role
Smartsheet is building a platform that unites human teams with AI agents, orchestrating agent work, automating manual tasks, and uncovering insights at scale. The AI ML Ops Software Engineer will design, develop, and maintain stable platforms and pipelines for machine learning deployment, resource optimization, and monitoring. This role exists to bridge the gap between model development and production by ensuring high availability, security, and scalability across enterprise systems. Candidates who thrive in this environment possess strong engineering backgrounds, hands-on cloud experience, and a collaborative approach to operationalizing artificial intelligence workloads.
What you will do
- Design, develop, and maintain stable AI and ML operations platforms and pipelines.
- Package and deploy artificial intelligence services to production with reproducibility and interpretability.
- Implement automated continuous integration and continuous deployment pipelines to accelerate model delivery.
- Provision and optimize infrastructure for model training and serving using containers and orchestrators.
- Establish post-deployment monitoring for performance, data drift, and latency.
- Manage foundation model deployments, fine-tuning workflows, and retrieval-augmented generation stacks.
- Control resource utilization to minimize cloud expenses while maintaining low-latency inference.
What you need
- Four to six years of minimum experience in artificial intelligence and machine learning operations.
- Background in building enterprise software solutions with high availability and scalability.
- Familiarity with large-scale structured and unstructured data sources.
- Practical experience with major cloud providers such as AWS, Azure, or GCP.
- Proficiency in programming languages including Python and SQL.
- Knowledge of modern engineering practices like Kubernetes, infrastructure as code, and observability.
Nice to have
- Experience in Monte Carlo monitoring tools
- Experience with AWS Bedrock
- Experience in AWS hosted data platforms
Skills and tech stack
Questions candidates ask
What is the location policy for this role?
The position is based in Bangalore, India with hybrid work arrangements. Candidates must be legally eligible to work in India on an ongoing basis.
What technologies and frameworks will I use?
The tech stack includes Python, SQL, major cloud providers like AWS, Azure, or GCP, and Databricks Lakehouse ecosystem tools. Additional tools involve MLflow, Kubernetes, Terraform, and various vector search and knowledge graph technologies.
What will be my main focus regarding AI models?
You will manage the deployment of foundation models, fine-tuning workflows, and retrieval-augmented generation stacks. Responsibilities also include setting up automated retraining and tracking performance metrics like data drift and latency.