Machine Learning Engineer V

About the role

We are looking for a Machine Learning Engineer V to lead technically complex AI and ML initiatives across classification, document intelligence, GenAI platforms, retrieval, agentic workflows, and production ML systems. This role is for an engineer who can operate across architecture, applied ML, backend systems, evaluation, and production operations.

What you'll do

• Lead architecture and delivery of production-grade AI and ML systems across classification, document intelligence, retrieval
• In this role, that means demonstrating strong ownership, sound judgment, and measurable impact across model development, evaluation, deployment, and ongoing improvement
• They help raise the team’s AI/ML capability by improving experimentation practices, model evaluation standards, code quality, documentation, observability
• They also contribute reusable patterns that make future AI systems easier to build, safer to operate, and more scalable in production
• What You'll Need to be Successful

What you need

• Machine learning
• Python
• LLMs
• NLP
• Prompt engineering
• System design

Good to have

• MLOps
• AWS
• PostgreSQL
• Kubernetes
• Docker
• Terraform