Sr. AI/ML Engineer (MXC)
Core
Lead the evaluation, training, and integration of advanced AI and machine learning models, including LLMs, to shape AI strategy and ensure responsible deployment across the Risk Intelligence platform.
Role type
Senior Applied AI/ML Engineer (LLMs & Traditional ML)
Builds
Production AI features, evaluation pipelines, and tools for model benchmarking and prompt iteration.
Domain
Risk Intelligence / Cybersecurity / NLP
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Hugging Face, Elasticsearch, cloud-based ML tooling (SageMaker, Bedrock), prompt engineering, model fine-tuning, supervised learning, model evaluation (A/B testing, cross-validation)
Preferred skills
Experience training and deploying supervised learning models in production, experience with commercial and open-source LLMs (OpenAI, Anthropic, Mistral, Meta)
Technologies
Python, PyTorch, TensorFlow, Hugging Face, Elasticsearch, SageMaker, Bedrock
Responsibilities
Train and fine-tune supervised learning models for internal tools and customer-facing features; Lead prompt engineering and testing efforts to fine-tune LLM behavior; Design and implement evaluation pipelines for LLMs and traditional ML models; Work with and optimize Elasticsearch-backed data systems; Develop tools and frameworks to support prompt iteration and model benchmarking; Coordinate with security team to ensure adherence to AI compliance standards; Evaluate and compare commercial and open-source LLMs; Collaborate with product and engineering teams to integrate AI features; Monitor and continuously improve model performance in production.
Seniority
Senior, hands-on IC