Machine Learning Platform Engineer (Bengaluru)

Machine Learning Platform Engineer (Bengaluru)

13 Aug
|
Guidewire
|
Bengaluru

13 Aug

Guidewire

Bengaluru

Summary

Join Guidewire as a Machine Learning Platform Engineer and play a pivotal role in architecting and scaling our next-generation ML platform. You will drive the design and implementation of secure, cloud-native infrastructure supporting the full ML lifecycle, from data ingestion to model monitoring. Collaborate with cross-functional teams to deliver innovative, reliable, and efficient solutions that empower our customers and accelerate Guidewire’s AI and data platform adoption.

At Guidewire, you’ll help deliver measurable value and efficiency for customers by advancing operational excellence and transformative innovation. Our Product Development & Operations (PDO) priorities focus on secure, scalable platform operations, accelerating AI and cloud adoption, and ensuring every customer is successful and referenceable. You’ll contribute to a culture of curiosity, collaboration, and responsible AI, supporting Guidewire’s mission to transform the global P&C; insurance industry through technology and data-driven insights.
Job Description

What you’ll do




- Design and implement core ML infrastructure for model training, hyperparameter tuning, experiment tracking, and model registry, using cloud‑native and open‑source technologies.
- Contribute to evolving a scalable, secure ML platform that supports the end-to-end ML lifecycle, including data preparation, training, evaluation, deployment, and monitoring.
- Orchestrate ML workflows using tools such as Kubeflow, SageMaker, MLflow, Vertex AI, or Databricks, ensuring reproducibility and robust automation.
- Partner with Data Engineers to build reliable, high‑quality data pipelines and feature pipelines that provide model‑ready datasets at scale.
- Implement and improve CI/CD for ML, including automated testing, validation, and protected rollout/rollback of models and data pipelines.
- Optimize ML workload performance and cost across compute, storage, and networking layers on public cloud (AWS, GCP, or Azure).
- Embed observab

📌 Machine Learning Platform Engineer (Bengaluru)
🏢 Guidewire
📍 Bengaluru

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