Smartsheet
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Bengaluru · On-site · 3-5 Yrs · 17 hours ago
Software Development · 1001 to 5000 Employees · Bellevue, US
Smartsheet is the Intelligent Work Management platform. By aligning people and technology so organizations can move faster and drive innovation, Smartsheet enables its millions of users to achieve more. Visit www.smartsheet.com to learn more. Backed by enterprise-grade security, Smartsheet is used by more than 85% of the companies in the Fortune 500 to implement, manage, and automate processes across a broad array of departments and use cases.
Hiring: Engineering
What employees say
+ There is absolutely no pro about this company,
− 1) No clear onboarding procedure. 2) Unclear expectations from day 1. 3) 12-16 hours of work almost everyday. 4) Managers and directors play politics and will throw you out if they
More reviews on the company profile.
Interview experience · Software Engineer
Long process - got into three interviews over the span of one and a half months. But the interviewers were pretty chill. You’ll have HR screw, two live coding sessions. Once those are done then you’ll be sent an invite t
Average difficulty · India · 7 reports
More interview insightsJob description
Overview
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter.
Responsibilities
- Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
- Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
- CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
- Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
- Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
- Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
- Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
- Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
- Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
- Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
- Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
- Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
- Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
- Perform other duties as assigned
- Enterprise SaaS software solutions with high availability and scalability
- Solution handling large scale structured and unstructured data from varied data sources
- Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
- Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
- In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
- AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
- Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
- Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
- Programming languages like Python and SQL
- Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
- Solution Cost Optimisations and design to cost
- Legally eligible to work in India on an ongoing basis
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Job application FAQ
Last updated 11 October 2026
- How do I apply for Sr AI/ML Ops Engineer at Smartsheet?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Smartsheet may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Sr AI/ML Ops Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Sr AI/ML Ops Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Sr AI/ML Ops Engineer role at Smartsheet?
- This is a senior Sr AI/ML Ops Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.