Machine Learning Engineer

0+ 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.
Proficient with Python programming language.
Knowledge of ML Ops good practices for model development, deployment and monitoring.
Familiar with AWS cloud technologies such as S3, EC2, RDS, etc.
Good understanding of statistical learning algorithms such as GLM, XGBoost, and Random Forest to solve real world business problems.
Familiarity with the setup and use of various open source LLM foundation models.
Prompt engineering and fine tuning concepts for LLM performance.
Creating and using vectorized databases for data storage and retrieval.
Familiarity with various LLM architecture patterns such as RAG and FLARE.
Understanding of LLM performance evaluation and monitoring using NLP and LLM-assisted metrics.

Be part of a cross-functional team implementing Generative AI (GenAI) solutions for some of the most critical business needs in the insurance industry.
Design, test and build GenAI infrastructure for Guidewire Large Language Models (LLMs).
Create data solutions, prompt engineering for models, fine tuning and deploying LLMs.