NLP/Linguistics Software Engineer - Babel Street

Key Responsibilities

• Architect and develop scalable NLP pipelines to extract actionable insights from multilingual identity data.
• Collaborate with data scientists to design and train machine learning models that detect fraud, identity theft, and risk indicators.
• Integrate NLP outputs into existing risk operations platforms, ensuring seamless data flow and real‑time analytics.
• Optimize model performance and latency, employing best practices in data preprocessing, feature engineering, and model deployment.
• Document technical specifications, maintain code quality, and mentor junior engineers on NLP and linguistic concepts.

Requirements

• 5+ years of software engineering experience with a focus on NLP and machine learning.
• Proficiency in Python, including libraries such as spaCy, NLTK, or Hugging Face Transformers.
• Strong background in computational linguistics and experience with multilingual text processing.
• Hands‑on experience deploying models to production environments, preferably with cloud platforms.
• Excellent problem‑solving skills and a passion for building high‑impact, data‑driven solutions.