Remote Principal AI Engineer

Summary

Join G-P as a Principal AI Engineer and design, develop, and deploy AI solutions that address complex business challenges. As a key member of our team, you will drive the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives.

Requirements

• Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field
• Deep understanding and practical experience in machine learning and natural language processing especially LLMs
• Strong foundational knowledge in statistical modeling, probability, and linear algebra
• Extensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics to ensure model reliability
• Experience developing and maintaining machine learning services for real-world applications at scale
• Strong Python programming skills
• High standards for code craftsmanship (maintainable, testable, production-ready code)
• Proficiency with Docker
• Knowledge of system design and cloud infrastructure for secure and scalable AI solutions
• Proficiency with AWS
• Proven track record in driving AI projects with strong technical leadership
• Excellent communication skills when engaging with both technical and non-technical stakeholders

Responsibilities

• Develop innovative, scalable AI solutions for real business problems
• Drive the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives
• Own highly open-ended projects end-to-end, from the analysis of business requirements to the deployment of solutions
• Manage complex data sets, design efficient data processing pipelines, and work on robust models
• Work closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction
• Write clear, concise, and comprehensive technical documentation for all projects and systems developed
• Stay updated on the latest developments in the field. Explore and prototype new technologies and approaches to address specific challenges faced by the business
• Develop and maintain high-quality machine learning services. Prioritize robust engineering practices and user-centric development

Preferred Qualifications

• Experience with natural language processing for legal applications
• Proficiency with Terraform
• React and Node.js experience