India - Bangalore Product Development and Operations Full time Onsite Summary Join Guidewire as a Senior 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 What you ll do Architect and evolve a scalable secure ML platform that supports the end to end ML lifecycle including data preparation training evaluation deployment and monitoring Design and implement core ML infrastructure for model training hyperparameter tuning experiment tracking and model registry using cloud native and open source technologies 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 safe 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 observability and governance into the platform including logging tracing model performance monitoring and drift detection Collaborate with security compliance and data governance teams to ensure the platform adheres to Guidewire s standards for security privacy and auditability Provide technical leadership and mentorship to other engineers influencing architectural decisions coding standards and best practices for ML platform and MLOps Continuously explore and apply AI automation including GenAI to improve developer and data scientist productivity platform reliability and operational efficiency What you ll bring Demonstrated ability to embrace AI and use data driven insights to drive innovation productivity and continuous improvement in your current role Bachelor s or Master s degree in Computer Science Engineering or a related field 10 years of software engineering experience including 5 years working on ML platforms or infrastructure Expertise in building large scale distributed systems and microservices with solid understanding of system design and architecture Robust programming skills in Python Go or Java with emphasis on writing clean testable maintainable code Hands on experience with containerization and orchestration for example Docker and Kubernetes Familiarity with MLOps tools such as MLflow Kubeflow SageMaker and how they fit into an end to end ML platform Cloud platform experience on AWS GCP or Azure including core services for compute storage networking and identity Experience with statistical learning algorithms e g GLM XGBoost Random Forest and deep learning approaches e g neural networks transformers with a practical understanding of how they are trained and deployed Strong communication leadership and problem solving skills with the ability to influence across functions and work effectively in a global distributed environment Preferred Experience with real time model inference and streaming ML pipelines including low latency serving and online feature computation Deep knowledge of model governance reproducibility and monitoring including experiment lineage versioning and approval workflows Understanding of model performance metrics and drift detection and experience implementing monitoring for data drift concept drift and model quality Exposure to feature stores e g Feast Tecton and workflow orchestration tools e g Airflow Argo in production environments Familiarity with regulatory and compliance considerations for ML systems including model auditability interpretability and data privacy laws such as CCPA GDPR Experience with real time data pipelines and streaming technologies such as Kafka Flink or Spark Structured Streaming Experience using TeamCity and Terraform or similar tools for infrastructure as code and CI CD of platform components Domain experience in insurance or related industries such as banking or finance or a demonstrated ability to ramp quickly in highly regulated domains Interested in this position About Guidewire Guidewire is the platform P C insurers trust to engage innovate and grow efficiently We combine digital core analytics and AI to deliver our platform as a cloud service More than 540 insurers in 40 countries from new ventures to the largest and most complex in the world run on Guidewire As a partner to our customers we continually evolve to enable their success We are proud of our unparalleled implementation track record with 1600 successful projects supported by the largest R D team and partner ecosystem in the industry Our Marketplace provides hundreds of applications that accelerate integration localization and innovation For more information please visit www guidewire com and follow us on Twitter Guidewire PandC Guidewire Software Inc is proud to be an equal opportunity and affirmative action employer We are committed to an inclusive workplace and believe that a diversity of perspectives abilities and cultures is a key to our success Qualified applicants will receive consideration without regard to race color ancestry religion sex national origin citizenship marital status age sexual orientation gender identity gender expression veteran status or disability All offers are contingent upon passing a criminal history and other background checks where it s applicable to the position