Linguistic AI & ML Engineer - Remote

Overview

The Machine Learning Engineer – Generative AI & NLP Specialist will design, develop, and implement cutting-edge AI-driven systems with a strong focus on linguistics and language technology.

In Short

• Design and optimize translation systems leveraging advanced NLP and Generative AI.
• Apply linguistic principles to enhance model performance.
• Ensure contextual accuracy in AI-driven translation models.
• Improve performance using linguistic quality metrics.
• Take ownership of the entire machine learning pipeline.
• Collaborate with linguists and domain experts.
• Implement monitoring frameworks for model performance.
• Automate pipelines for model retraining and adaptation.
• Deploy scalable multilingual inference endpoints.
• Ensure compliance with data security and ethical AI standards.

Requirements

• Background in computational linguistics or language technology.
• Deep understanding of the full ML lifecycle.
• Experience with machine translation and multilingual AI models.
• Strong Python programming skills with ML libraries.
• Proficiency in linguistic annotation and text normalization.
• Hands-on experience with linguistic quality metrics.
• Experience designing APIs for multilingual NLP applications.
• Strong knowledge of large language models.
• Familiarity with vector and graph databases.
• Proficiency in cloud platforms, preferably GCP.

Benefits

• Opportunity to work on cutting-edge AI technologies.
• Collaborative work environment with experts in the field.
• Potential for professional growth and development.
• Engagement in innovative projects with real-world impact.
• Flexible working arrangements.