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Smartsheet
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„Smartsheet“ teikia darbo valdymo platformą projektams organizuoti, darbo eigoms automatizuoti, komandoms koordinuoti ir veiklos duomenims paversti suvestinėmis bei ataskaitomis. Jos įrankiai pritaikyti projektų valdymui, IT portfelio valdymui ir rinkodaros valdymui tokiose srityse kaip konsultacijos, sveikatos priežiūra, finansai ir viešasis sektorius. Platforma taip pat integruojama su kitomis verslo sistemomis, o ją papildo profesionalios konsultavimo, mokymo ir diegimo paslaugos. „Smartsheet“ daug dėmesio skiria saugumui ir duomenų apsaugai organizacijose, kurios valdo didelės apimties darbą.
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Senior AI/ML Ops Engineer I - Bangalore, Hybrid

Build and operate scalable AI/ML platforms for Smartsheet in a hybrid Bangalore role. Deploy models, automate pipelines, and optimize cloud infrastructure across Databricks and major cloud environments.

INIndijaHibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųMašininio mokymosi inžinierius
AWSAzureDebesijaDockerGoogle Cloud PlatformKubernetesPythonSQLTerraformUnity

Aprašymas

  • Build, maintain, and improve dependable AI/ML operations platforms and pipelines
  • Package and release AI/ML services to production through reproducible, interpretable processes
  • Create automated CI/CD pipelines that streamline model deployment
  • Provision and optimize model-training and serving infrastructure with Docker, Kubernetes, or serverless platforms
  • Monitor production models for performance, data drift, and latency
  • Automate model retraining and data-pipeline processes
  • Oversee foundation-model deployments, fine-tuning workflows, and RAG stacks involving vector databases and knowledge graphs
  • Improve GPU and CPU utilization to control cloud costs while preserving low-latency inference
  • Partner with data scientists, data engineers, and software engineers to move models from development into production
  • Maintain version control for data, code, and models with tools such as MLflow
  • Apply data-security controls, follow governance requirements, and safeguard sensitive information
  • Assess emerging data technologies and identify opportunities to advance infrastructure
  • Investigate and resolve complex data-related problems
  • Take on additional responsibilities as assigned

Reikalavimai

  • Seven to twelve years of experience designing, developing, and maintaining dependable AI/ML operations platforms and pipelines
  • Experience delivering enterprise SaaS solutions that require high availability and scalability
  • Experience working with large structured and unstructured datasets from diverse sources
  • Experience building and operating scalable, reliable, efficient, and secure AI/ML operations platforms
  • Deep experience with AI/ML frameworks and tools for petabyte-scale data in the Databricks Lakehouse ecosystem
  • Experience with Databricks AI/ML operations workflows, MLflow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, and Knowledge Graph
  • Knowledge of LangChain and LangGraph for integrating AI/ML operations pipelines
  • 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, CI/CD, infrastructure-as-code tools such as Terraform, observability, monitoring, and alerting
  • Experience optimizing solution costs and applying design-to-cost principles
  • Ongoing legal eligibility to work in India

Privalumai

  • The posting does not specify benefits, perks, or additional compensation

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