Machine Learning Engineer
2 months ago
Xcede's Data-driven Insurance Client
Overview
Xcede's Data-driven Insurance client is a leading organisation in the field of Data Science, Machine Learning Engineering, and MLOps. They are seeking a highly skilled Machine Learning Engineer to join their AI unit, where they will be responsible for building and deploying production-level ML models for a breadth of commercial projects.
Key Responsibilities
- Develop and deploy predictive models and algorithms for commercial projects, with a particular focus on Large Language Models (LLMs) and Reinforcement Action Graphs (RAGs).
- Collaborate with cross-functional commercial and business teams to understand business requirements and identify opportunities for deploying statistical models.
- Build production-level Machine Learning models and be hands-on in deployment.
- Evaluate and select appropriate machine learning techniques and algorithms for solving commercial challenges.
Requirements
- Commercial experience in a Data Science role building statistical & machine learning models.
- Experience in building and deploying machine learning models in production.
- Excellent use of Python programming language.
- Particular experience in NLP, LLMs, and RAGs is highly prized given the focus on these projects.
- CI/CD & MLOps experience is valued.
- Databricks experience is valued.
About Xcede
Xcede is a company that has been building commercially successful Data Science products for years. They are now pushing further into Generative AI with multiple LLM-based projects in production across the company.
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