AI/ML Developer

• Strong applied experience with both traditional machine learning and deep learning for text classification.

• Solid grasp of model evaluation methods and their common pitfalls.

• Able to read, debug, and improve existing ML code independently.

• Comfortable doing applied research - reading papers, trying open-source tools, and evaluating them - and clearly presenting results to non-technical business users.

Additional Requirements

• Proficient in Python; comfortable working in a Linux environment.

• Able to work independently on well-scoped tasks with minimal supervision.

• Production-minded - writes maintainable, testable code, not just notebooks.