Swiss Re
Bangalore, India
(on-site)
23 days ago
Job Function
Other

Description

GDS (Group Data Services) leads Swiss Re's ambition to be a truly data-driven risk knowledge company. GDS bring expertise and experience covering all aspects of data and analytics to enable Swiss Re in its vision to make the world more resilient.

The Data Platform Engineering & Operations team deals with data & analytics platforms for enabling the creation of innovative solutions to data driven business needs. It also enables Swiss Re Group to efficiently utilize the platforms and ensures their availability and proper functioning.

The Opportunity

Interested in joining Swiss Re's endeavors to become a truly data-driven risk company? We are the GDS Data Platform Engineering & Operations team. We own and serve data analytics and data science tools to a large company-internal user base. We set up and maintain cloud-based PaaS and SaaS solutions with a focus on big data processing, analytics, ML & AI, and large language models. Staying in touch with our users continuously we strive to anticipate emerging client needs, provide responses to user inquiries, and solve their issues. We enable our users in their adoption of MLOps and more recently also LLMOps best practices. While we are aiming to provide a high-quality service to our clients, our systems must remain both secure and cost effective.

As our new colleague you will operate in an agile environment working in tight cooperation with peers, internal experts, and business clients to support, organize and manage various activities within the team.

What you will work on during your first year at Swiss Re:
  • Your primary responsibility will involve the setup, configuration, and ongoing maintenance of Azure PaaS (Platform as a Service) and SaaS (Software as a Service) components, ensuring optimal functionality and system reliability.
  • A significant part of your role will be dedicated to designing and constructing robust production Model (Machine Learning/Large Language Models) deployment pipelines within the public cloud environment. This will involve creating and refining model monitoring scripts and intuitive dashboards to track and report on model performance.
  • You will be expected to conduct thorough and continuous analysis of the ML/LLM pipeline, deployment processes, and monitoring scripts. This will enable you to define necessary updates and modifications to accommodate changes in applications, data, or model structures effectively.
  • One of your key contributions will be to the development and implementation of DevSecOps best practices focused around our large language model operations (LLMOps). This will entail devising strategies to improve security and operational efficiency in our model development and deployment processes.
  • You will support our large internal customer base of data scientists, ML engineers and actuaries to make use of Azure ML, Azure OpenAI & Open Source LLMs.
  • To establish new services, you will provide technical and non-technical information to our Digital Governance Framework team to obtain their approval sign offs.
  • You will help other teams to achieve their own project goals using the tools provided by the team.
  • Drive efficiencies in products and processes: capacity planning, configuration management, performance tuning, monitoring, backup/restore and root cause analysis.


About Swiss Re

Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

Keywords:
Reference Code: 128340

Job ID: 72332338
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