Senior Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the design, execution, and advancement of Guidewire’s GenAI and LLM products.

• Develop data ingestion, feature pipelines, model training, fine-tuning, deployment, and monitoring on AWS.

• Design and create ML/LLM pipelines for claim summarization, underwriting assistance, pricing and rating intelligence, and developer productivity tools.

• Create and enhance LLM solutions utilizing prompt engineering, RAG, vector databases, and fine-tuning.

• Collaborate with Product Strategy, PDO, and Professional Services teams on the product roadmap and customer adoption objectives.

• Establish best practices for MLOps encompassing CI/CD, experimentation, evaluation, observability, and responsible AI.

• Ensure models are auditable, secure, and scalable for production use.

• Provide mentorship and coaching to engineers and data scientists.

• Conduct code and design evaluations.

• Advocate for performance, reliability, and cost-efficiency of AI workloads.

• Collaborate with Security, Finance, BizTech, and GTM teams regarding data governance and security measures.

• Assume responsibility for core GenAI platform components and spearhead the rollout of new GenAI use cases.

⛳️ Requirements

• 5+ years of professional experience in Machine Learning and/or Data Science, including the end-to-end delivery of production ML systems.

• In-depth expertise in Python.

• Experience in building scalable ML/LLM services and pipelines, preferably on AWS utilizing S3, EC2, RDS, and SageMaker.

• Strong grasp of MLOps practices, including CI/CD for ML, experiment tracking, model registries, and drift detection.

• Practical experience with GLM, Random Forest, and XGBoost models.

• Comprehensive understanding of neural networks and transformer-based architectures for LLMs and chat models.

• Familiarity with open-source foundation models, fine-tuning, and inference techniques.

• Experience in prompt engineering, RAG, related LLM architecture patterns, and vector databases.

• Knowledge in evaluating and monitoring LLM performance using NLP and LLM-assisted metrics.

• Proven technical leadership, including design decisions, complex engineering projects, mentoring, and conducting code and architecture reviews.

• MUST HAVE GUIDEWIRE EXPERIENCE.

• Bachelor’s or Master’s Degree in Computer Science, or equivalent practical experience (preferred).

• Experience with SQL, Spark, or AWS Glue.

• Proficiency with Docker and Kubernetes.

• Experience in creating backend APIs to expose ML/LLM services.

• Familiarity with CI/CD and infrastructure-as-code tools such as TeamCity and Terraform.

• Background in insurance, banking, or financial services, or a keen interest in becoming fluent in P&C insurance.

🏝️ Benefits

• Flexible work environment.

• Health and wellness benefits.

• Paid time off programs, including volunteer time off.

• Market-competitive pay and incentive programs.

• Continuous development and internal career growth opportunities.

• Health, dental, and vision insurance.

• Company-sponsored retirement plan.

• Certain roles may qualify for an annual company bonus plan, commissions, and/or long-term incentive awards.

• In-person orientation process.

• Disability-related accommodations and support during the hiring process.