NLP Engineer, ML Developer

Summary

Join QuickTeam, a company providing virtual employees to businesses, as a part-time NLP Engineer with potential for full-time transition. You will develop a lightweight, CoreML-compatible LLM for classifying URLs and HTML content. This role requires expertise in NLP, machine learning, and relevant frameworks. You will work on React-based interfaces and optimize models for low-latency inference. The position offers flexible hours, a fully remote work environment, and the opportunity to work on cutting-edge AI projects. QuickTeam provides a supportive and innovative team environment.

Requirements

• Experience with React and front-end development
• Strong background in NLP and machine learning, particularly in LLM optimization
• Familiarity with CoreML and Apple’s ML frameworks
• Ability to think creatively and solve complex technical challenges
• Experience working with on-device AI models and lightweight inference
• Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks
• Strong problem-solving and research skills
• Strong understanding of natural language processing concepts and techniques
• Experience in developing and deploying machine learning models
• Proficiency in Python and relevant NLP libraries
• Knowledge of machine learning frameworks like TensorFlow or PyTorch
• Excellent analytical and problem-solving skills
• Ability to work collaboratively in a team environment

Responsibilities

• Develop and fine-tune a lightweight LLM optimized for on-device classification of webpages
• Ensure compatibility with CoreML for efficient integration into iOS/macOS environments
• Work on React-based interfaces to visualize and interact with the model
• Implement efficient NLP pipelines for classifying URLs and HTML content
• Stay updated on advancements in ML and NLP to improve model performance
• Optimize models for low-latency inference on mobile and embedded systems
• Collaborate with developers to integrate the NLP model into broader filtering solutions

Preferred Qualifications

• Experience in web filtering, content classification, or AI-powered parental controls
• Background in privacy-focused AI solutions
• Prior work in optimizing NLP models for mobile and edge devices

Benefits

• Flexible work hours
• A fully remote position
• The opportunity to work on cutting-edge AI projects with real-world impact
• Hands-on experience with on-device machine learning, CoreML integration, and LLM optimization