We are seeking a Machine Learning (ML) Engineer to join our team at Guy Carpenter (GC). This role will be based in Dublin as part of the Marsh McLennan Innovation Centre. This is a hybrid role that has a requirement of working at least three days a week in the office. As an ML Engineer at GC, you you’ll leverage cutting-edge machine learning to enhance data-driven products for a global leader in risk management and reinsurance. This cross-functional environment offers the opportunity to contribute throughout the full AI solution lifecycle while solving complex problems in the reinsurance domain.

We will count on you to:

• Incorporate cutting-edge business intelligence, machine learning, and alternative data practices into our wider organization to drive efficiencies and generate revenue
• Own the complete model lifecycle from data wrangling and development through training and monitoring
• Stay current with the latest ML/AI innovations and strategically apply these advancements to enhance GC’s business and data strategy
• Build and improve our internal ML/AI private packages and tooling
• Establish and maintain strong relationships with internal team members and external clients
• Evangelize ML/AI techniques and best practices throughout our analytics and engineering teams

What you need to have:

• 4-5 years of experience developing and deploying ML models in production environments
• Significant expertise with Python data science ecosystem including pandas, scikit-learn, numpy, and deep learning frameworks (TensorFlow, PyTorch or Hugging Face)
• Strong SQL skills for data manipulation and analysis
• Ability to produce production-quality code with adherence to engineering best practices (unit testing, code reviews, CI/CD pipelines)
• Exceptional analytical abilities and intellectual curiosity demonstrated through academic or professional work
• Hands-on experience developing AI/ML technologies such as LLM inference, similarity search, vector databases, guardrails, and memory systems using Python

What makes you stand out:

• Experience with Databricks and its ML ecosystem
• Hands-on experience developing AI/ML technologies
• Experience fine-tuning open source LLMs for specific business applications

Please refer the Job description for details