Swiss Re

Senior Cloud Engineer

Senior Site Reliability Engineer

Data Scientist

Associate Credit PTF Data Scientist

Technical Writer

Google

Research Scientist, Kaggle

Administrative Business Partner II

Regulatory and Litigation Associate Counsel, Privacy

Software Engineering Manager, Creative Camera

Delivery Executive IV, Professional Services, Google Cloud

Manufacturing Business Manager, Home and Health

Global Activation Associate, Customer and Business Intelligence, Go-To-Market

As a Research Scientist at Kaggle, you'll be working on the cutting edge of AI and ML research, specifically focusing on LLMs and Generative AI. You'll collaborate with other researchers to create the next generation of benchmarking and evaluation methods, and work with the Kaggle Competitions team to expand their platform to host LLM Benchmarks and community evaluations. You'll also be involved in developing and deploying new research methods and algorithms, and mentoring junior engineers. This is a unique opportunity to make a real impact on the future of AI, and to be part of a world-class research team.

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Publisher Intelligence Analyst

<div jscontroller="iYVHDc" class="DkhPwc" jsname="tIk9qd" data-id="119189764841579206" jsaction="A6AxKc:CXOOvf;"><div class="KwJkGe"><h3>Minimum qualifications:</h3><ul>
<li>PhD degree in Computer Science, a related field, or equivalent practical experience. </li>
<li>One or more scientific publication submission(s) for conferences, journals, or public repositories. </li>
<li>Coding experience in Python, JavaScript, R, Java, or C++. </li>
</ul> <h3>Preferred qualifications:</h3><ul>
<li>2 years of coding experience in Python, JavaScript, R, Java, or C++. </li>
<li>1 year of experience owning and initiating research agendas. </li>
<li>Experience with LLMs and GenAI models and methods.</li>
<li>Demonstrated expertise in bechmarking, evaluation, and empirical methods.</li>
</ul></div><div class="aG5W3"><h3>About the job</h3>As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
In this role, you will get to work on Kaggle’s Research priorities, help innovate in Kaggle’s leading platform for ML competitions, datasets, and models, and establish Kaggle Research as the leader in building earned trust through community validation of AI.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. </div><div class="BDNOWe"><h3>Responsibilities</h3><ul>
<li>Collaborate with other members of the Kaggle Research team to create the next generation of benchmarking and evaluation methods and structures for AI / ML, with a particular focus on LLMs and generative AI.</li>
<li>Work with the Kaggle Competitions team to expand Kaggle's competitions platform to host and run LLM Benchmarks and community evaluations.</li>
<li>Collaborate with Google DeepMind Researchers and external researchers to create and host valuable AI evaluations and benchmarks on Kaggle.</li>
<li>Contribute to the development and deployment of new research methods and algorithms for AI and ML. Mentor and&nbsp;guide junior engineers on the team.</li>
<li>Publish research papers and present findings at conferences and workshops. Collaborate with engineering, design, and product leadership to improve Kaggle's product for Research&nbsp;priorities.</li>
</ul></div></div>

Seeking a Senior Cloud Engineer with 5+ years of hands-on experience in Microsoft Azure, specializing in Terraform and Azure Kubernetes Service (AKS). Must have strong networking, security, and RDBMS knowledge.

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 About The Role As a senior cloud engineer you will join our small engineering team, supporting cloud and DevSecOps solutions in Microsoft Azure. You will provide technical expertise in the engineering of new products as well as improving existing ones using innovative and practical approaches aligned with the governance standards and current methodologies. One day you might be creating, and testing terraform: another managing our Azure Kubernetes Cluster, while the next increasing the observability of one of our products. In this role, you will also be responsible for collaborating with global teams and external partners during all phases of the product development lifecycle. Specific Job Responsibilities Include <ul><li>management of our Azure resources e.g. AKS and Azure Databricks</li><li>managing our Azure Subscription (e.g. increasing security, managing alerts)</li><li>collaborating in deep architectural discussions to ensure solutions are designed for successful deployment, security and high availability in the cloud</li><li>working closely with our development teams to understand their needs and code infrastructure deployments in terraform</li><li>keeping documentation concise, accurate and up to date</li><li>researching new technologies and prototyping new ideas</li><li>contributing to a continual improvement in everything we do e.g., increasing automation, better observability, removal of technical debt</li><li>reviewing work of others e.g. through pull requests </li><li>driving continuous improvement e.g. cost efficiency, better observability or appropriate introduction of new technology</li><li>third level on-call support during critical period</li><li>The role requires significant hands-on experience. The role comes with the expectation that you will proactively identify issues and drive improvements yourself. </li></ul>
About The Team We are a cloud engineering team supporting the Finance Data and Analytics product area Swiss Re. We are a small international team of cloud and DevSecOps engineers operating the Azure footprint which holds the golden source of financial data for Swiss Re. Our solutions are used to process billions of records and support mission critical processes at Swiss Re. We own and operate the platform on which Swiss Re generates its financial results. Our top priority is to have everything possible automated to a high level, so we can easily operate and maintain the whole platform. We value good engineering practices and enjoy an open exchange among the team. Continuous Integration and deployment are at the heart of what we do. Also, we put a focus on continuously improving ourselves through regular knowledge exchange. You can expect to work with adverse array of platforms in Microsoft Azure including Databricks, Azure Kubernetes Service (AKS) , Power BI, Azure Spring Apps, SQL DB, PostgreSQL and Azure Data Factory. All our code and deployments are managed in Azure DevOps. Every change to our infrastructure is done through code. We are passionate about technology and eager to learn. We closely collaborate with product management, engineering teams and colleagues around the globe to share knowledge and engineer simple yet effective solutions. You Will Have <ul><li>a degree in applied science, engineering, or computer science (or equivalent applied professional experience)</li><li>a minimum 5 years of hands-on experience engineering solutions with Microsoft Azure</li><li>multi-year experience writing Terraform (preferably a Terraform Associate)</li><li>demonstrable understanding of networking, compute, and security concepts relevant to the public cloud</li><li>a curious, engineering mindset and the ability to break complex problems into steppingstones</li><li>experience with at least one RDBMS (preferable Postgres and/or MS SQL)</li><li>good skills writing PowerShell, Python, Bash scripts.</li><li>good git skills</li><li>ability to mentor others, design solutions and review work</li><li>excellent verbal and written communication skills in English </li></ul>
Experience in hand-on coding with high level programming languages like Java, C# or C++ is an added advantage. 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 &amp; Casualty and Life &amp; 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: 130534
 
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