Machine Learning Engineer III

Summary Your day-to-day: Be part of a cross-functional team implementing Machine Learning (ML) solutions for some of the most critical business needs in the insurance industry. You will be a primary stakeholder and key developer for the complete end-to-end ML Ops lifecycle at Guidewire.

• Design, test and build infrastructure for Guidewire AI and ML models.

Creating data solutions, developing automated systems, and deploying AI and ML models.

• Guidewire’s ML Engineering team is the center of excellence for machine learning and AI.

This role is a great

opportunity:

for individuals motivated by learning cutting edge technologies and their application to solve real world business problems.

• Guidewire is the AWS for insurance companies that use our platforms and applications.

The ML solutions developed by you and this team will be used by hundreds of insurance companies and impact billions of dollars in annual insurance transactions. Job

Description:

Requirements:

3+ years of professional

experience:

working in Machine Learning and Data Science. Bachelor’s or Master’s Degree in Computer Science, or equivalent level of demonstrable professional competency. Knowledge of ML Ops good practices for model development, deployment and monitoring. Expert in Python programming language. A strong understanding of AWS cloud technologies such as S3, EC2, RDS, etc.

Experience:

• developing model pipelines using AWS Sagemaker.

Experience:

using Docker or Kubernetes to deploy containerized applications. Proficiency in building ML Infrastructure with IaC tools to support large ML workloads.

Experience:

using statistical learning algorithms such as GLM, XGBoost, and Random Forest to solve real world business problems. Deep understanding of statistical learning methods and how to evaluate models for performance in a production setting. Familiarity with the setup and use of various open source LLM foundation models.

Prompt engineering and fine tuning concepts for LLM performance. Preferred

Skills:

Data engineering

experience:

with SQL, Spark or AWS Glue. Creating API services for backend application functionality.

Experience:

using TeamCity and Terraform for infrastructure setup and CI/CD. Insurance industry or related

experience:

such as banking and finance. The US base salary range for this full-time position is $128,000 - $192,000. Your base pay will depend on your

experience:

,

skills:

,

education:

, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for

benefits:

that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.

Disability Accommodations and Guidewire’s Appeals Process.

• Guidewire provides accommodations to the hiring process to create a fair

opportunity:

for candidates with disabilities to contend for open positions. Accommodation requests should be directed to Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process.

• Guidewire promises to independently review any denied accommodation and any decision not to offer you the position.

The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com to make an appeal.

• Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.

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. We’re an extraordinary blend of hungry self-starters, intrepid explorers, brainy experts, and loyal allies. Combine all of this, and we make a glorious success story, loaded with down-to-earth, helpful, and passionate people, all on the journey of cloud innovation and best in class technology.

• Guidewire’s an adventure—and it’s yours for the taking.

At Guidewire, we are utterly committed to customer success. We combine digital, core, analytics, and AI to deliver our platform as a cloud service to the P&C Insurance industry. And with the largest R&D team, services team, and partner ecosystem in the industry, we continually evolve and innovate to meet our customers’ needs.

We put our values of Integrity, Rationality, and Collegiality first, harboring a culture of honesty and openness that our people never want to lose. And we each bring a little quirkiness—and a little genius—to the table. As the landscape of our industry continues to shift, we respond with flexibility and skill.

We’re braving uncharted territory, pushing past the conventional with our products, partners, and people.