Principal AI Engineer

October 19

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Compliance • Human Resources • International Business • Global Business Expansion • International Legal Expertise

1001 - 5000

Description

• Design, develop, and deploy AI solutions that address complex business challenges. • Develop innovative, scalable AI solutions for real business problems. • 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. • Write clear, concise, and comprehensive technical documentation for all projects and systems developed. • Stay updated on the latest developments in the field, exploring and prototyping new technologies and approaches. • Develop and maintain high-quality machine learning services.

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. • Nice to have: experience with natural language processing for legal applications, proficiency with Terraform, React and Node.js experience.

Benefits

• Competitive compensation and benefits package. • Opportunity for career development. • Flexible work environment. • Recognition for a job well done. • Ability to work with innovative technology. • Support for personal growth.