Principal AI Engineer

As a Principal AI Engineer at G-P, your role involves designing, developing, and deploying AI solutions to address complex business challenges. You will need advanced expertise in artificial intelligence, including machine learning and natural language processing, to implement these technologies in production-grade systems. Your responsibilities will include: - Developing innovative, scalable AI solutions for real business problems. Driving the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives. - Owning highly open-ended projects end-to-end, from analyzing business requirements to deploying solutions. Expect to dedicate about 20% of your time to understanding problems and collaborating with stakeholders. - Managing complex data sets, designing efficient data processing pipelines, and working on robust models. Expect to spend approximately 80% of your time on data and ML engineering tasks related to developing AI systems. - Working closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction. - Writing clear, concise, and comprehensive technical documentation for all projects and systems developed. - Staying updated on the latest developments in the field. Exploring and prototyping new technologies and approaches to address specific challenges faced by the business. - Developing and maintaining high-quality machine learning services. Prioritizing robust engineering practices and user-centric development. - Being able to work independently and influence at different levels of the organization. - Being highly motivated and result-driven. Required Skills and Qualifications: - 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. Nice To Have Qualifications: - Experience with natural language processing for legal applications. - Proficiency with Terraform. - React and Node.js experience. If you're ready to make an impact in a high-paced startup environment, with a team that embraces innovation and hard work, G-P is the place for you. Be ready to hustle and put in the extra hours when needed to drive our mission forward.,