Senior AI/ML Ops Engineer I(Hybrid Bangalore India)
About this role
Designing, developing, and maintaining stable AI and machine learning operations platforms forms the core daily routine for this role at Smartsheet. The engineering team focuses on uniting human teams with AI agents, automating manual tasks, and scaling solutions seamlessly across the enterprise. This position exists to bridge the gap between model development and production by establishing reliable infrastructure, automated CI/CD pipelines, and robust monitoring systems. Engineers working here handle model deployment, resource optimization, and the management of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation stacks. Someone who thrives in this environment brings extensive experience with large-scale data platforms, cloud infrastructure, and collaborative problem-solving alongside data scientists and software engineers.
Smartsheet operates with a hybrid setup based in Bangalore, India, inviting professionals who value impact and continuous improvement. The selected candidate will tackle complex challenges related to data security, version control, cost optimization, and post-deployment observability. Success in the role requires a deep technical background in modern software engineering practices, Databricks ecosystems, and infrastructure management tools. Individuals who enjoy building scalable systems and exploring emerging data technologies will find ample opportunity to contribute to the organization's ambitious goals.
What you will do
- Package and deploy AI and machine learning services to production to guarantee reproducibility and interpretability.
- Design and implement automated CI/CD pipelines in order to accelerate the deployment of models.
- Provision and optimize infrastructure for model training and serving using Kubernetes, Docker, or serverless platforms.
- Implement post-deployment monitoring for latency, data drift, and model performance.
- Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation stacks.
- Collaborate closely with software engineers, data scientists, and data engineers to connect model development with production.
- Implement data security measures and ensure compliance with governance policies to protect sensitive information.
What you need
- Bring seven to twelve years of experience in designing, developing, and maintaining stable machine learning operations platforms and pipelines.
- Demonstrate expertise in enterprise SaaS software solutions that feature high availability and scalability.
- Possess in-depth experience utilizing AI and machine learning frameworks and tools within the Databricks Lakehouse ecosystem.
- Show hands-on experience with at least one major cloud provider such as AWS, Azure, or GCP.
- Hold proficiency in programming languages including Python and SQL.
- Apply modern software engineering practices such as Infrastructure as Code tools, Kubernetes, and continuous integration.
- Be legally eligible to work in India on an ongoing basis.
Nice to have
- Experience in Monte Carlo
- Experience with AWS Bedrock
- Experience in AWS hosted data platform
Skills and tech stack
Questions candidates ask
What is the work location and setup for this role?
The position is a hybrid role based in Bangalore, India.
What kind of cloud and platform experience is required?
Candidates need hands-on experience with at least one major cloud provider like AWS, Azure, or GCP, along with in-depth experience using the Databricks Lakehouse ecosystem.
Who will this engineer collaborate with day-to-day?
The person in this role works closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.