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    Senior AI/ML Ops Engineer I(Hybrid Bangalore India)

    Smartsheet · Bengaluru · onsite · Posted 22d ago

    Not disclosed7–12 yrsfulltimeSourced fromGreenhouse

    About a minute. You'll make an account on the way through.

    About this role

    For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.

    For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.

    Job Description/ Responsibilities:

    7-12 Years of Experience in Designing, developing and maintaining stable 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

    Required Skills:

    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

    In depth experience in 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

    Get to Know Us:

    At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

    Equal Opportunity Employer:

    Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. 

    If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

    #LI-Remote

    Sourced from greenhouse

    Skills

    DockerTerraformKubernetesRetrieval Augmented GenerationServerlessmlflowMLOpsgoogle cloud platformamazon web servicesDatabricksPythonSQLMicrosoft AzureLangchainCi/Cd

    About Smartsheet

    Smartsheet logo

    Smartsheet

    About

    Smartsheet is the Intelligent Work Management Platform that unites people, data, and AI to eliminate execution silos - turning strategic vision into measurable enterprise impact.

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