Sr AI Engineer I

This job is with Swiss Re, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

About Swiss Re Corporate Solutions

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.

Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces 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.

About The Role

The Corporate Solutions Advanced Data Science team is seeking a highly experienced Senior AI Engineer to drive the development of our next-generation data solutions.

In this pivotal role, you'll apply sophisticated methods to transform raw, complex data into robust, scalable AI-powered data systems. Your responsibilities will include designing and implementing advanced algorithms, conducting in-depth statistical and machine learning analysis, and ensuring these systems are meticulously aligned with our strategic business objectives for maximum efficiency and impact. To excel, you'll need exceptional analytical capabilities, a proven ability to integrate diverse data sources, mastery of multiple programming languages, and a deep understanding of cutting-edge machine learning methodologies.

In This Role, You Will Have Following Fundamental Responsibilities

• Work alongside a technically sophisticated team of data scientists and data engineers located within and outside Bangalore.
• Translate business needs and requirements into specific quantitative questions, which can be answered with available data using sound methodologies
• Identify and highlight gaps in existing datasets to enhance the data quality in the upstream systems.
• Create business value by leading end-to-end data initiatives including but not limited to data ingestion, transformation, solution development, deploying advanced AI/ML models and making process improvement recommendation
• Build up and maintain AI engineering and data science best practices, and model governance framework. Inspiring others to raise minimum standards to a new level.
• Design and develop frameworks for automated testing of data pipelines and machine learning artifacts.
• Use statistical, algorithmic, data mining, and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights.
• Work with Analytics and Business Experts to deploy the models into production by building APIs or leveraging our ETL pipelines
• Connect with business stakeholders to find process improvement opportunities and suggest suitable solutions.
• Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions.
• You are expected to use a wide variety of open-source technologies.
  
  

Required Skills

• University degree in Engineering or Computer Science (or comparable education/equivalent experience), with strong programming, data analytical skills
• Minimum 4 years of work experience in Machine Learning, AI, Data engineering, big data and projects
• Strong knowledge on system design, data structures, algorithms, storage systems, and cloud infrastructure
• Hands-on experience in using Palantir Foundry's advanced apps
• Hands-on experience in one or more cloud platforms like AWS, Azure, Google Cloud is a plus.
• Proficiency in Python, PySpark, TypeScript/Java Script and SQL
• Proven experience in designing and implementing end to end data pipelines and deploying ML and AI models
• Experience in working with shared code repository (VSS, SVN or Git)
• Experience in the re/insurance industry is a plus
• Communicate clearly and simply, even when dealing with complicated problems and ideas, and do so both orally and in writing. When interacting with colleagues, adjust your communication style to meet the needs of others.
• Open-minded, intellectually curious and enjoy continually learning from a variety of sources.
• A self-starter and able to solve problems and develop solutions
  
  

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.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

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Keywords

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