Job Description

Make more Creative Job Post Content< Senior Machine Learning Engineer

 - Responsibilities:

Imagine being at the forefront of Generative AI (GenAI) innovation, building solutions that redefine how an industry works. At Guidewire, you’ll be part of a dynamic team tackling the insurance industry’s most critical challenges, creating impactful solutions that influence billions of dollars in annual transactions.

What You'll Do

Join a cross-functional team as a key player in designing, developing, and deploying cutting-edge GenAI solutions. You’ll lead projects that include:

• End-to-End GenAI Development:
  Build and maintain workflows for Large Language Models (LLMs), from infrastructure design to model deployment.

• Prompt Engineering & Fine-Tuning:
  Create tailored prompts and optimize LLMs for top-tier performance.

• Advanced Data Solutions:
  Develop solutions for structured and unstructured data using vectorized databases and advanced retrieval methods.

• Model Deployment & Monitoring:
  Use AWS Sagemaker, Docker, and Kubernetes to ensure reliable, scalable deployments.

• Architecting LLM Patterns:
  Implement state-of-the-art techniques like Retrieval-Augmented Generation (RAG) and FLARE for enhanced LLM functionality.

• Collaborative Innovation:
  Partner with business and technical stakeholders to ensure solutions address real-world challenges, delivering measurable results.

Who You Are

Required Skills & Experience

• Machine Learning Expertise:
  5+ years of professional experience in Machine Learning and Data Science, with a strong understanding of transformer-based architectures, neural networks, and statistical learning algorithms like GLM, XGBoost, and Random Forest.

• Programming Mastery:
  Proficient in Python, with experience in SQL, Spark, and AWS Glue for data engineering tasks.

• Cloud Knowledge:
  Skilled in AWS services (S3, EC2, RDS, etc.), with hands-on experience building ML pipelines using Sagemaker.

• LLM Enthusiast:
  Familiar with open-source LLM models, fine-tuning techniques, and prompt engineering concepts.

• Tech-Savvy Problem Solver:
  Strong skills in model evaluation using NLP and LLM-assisted metrics, along with proficiency in containerized applications (Docker, Kubernetes).

Preferred Skills

• CI/CD & Infrastructure:
  Experience with tools like TeamCity, Terraform, and API service development.

• Industry Insight:
  Background in insurance, banking, or finance.

Why Guidewire?

At Guidewire, we believe in blending innovation with impact. Here’s why you’ll thrive here:

• Innovative Environment:
  Be part of the center of excellence for AI and machine learning, working on solutions that transform an industry.

• Global Reach:
  Your work will support 540+ insurers across 40 countries, making a tangible difference to billions of people worldwide.

• Professional Growth:
  Access industry-leading resources, continuous learning opportunities, and the chance to work on groundbreaking projects.

• Competitive Rewards:
  Earn a salary in the range of $141,000–$252,000, plus bonus, equity, and benefits.