ai engineer for advertising content

SmartAssets is an AI platform incubated within the Stagwell Marketing Cloud. It helps brands and creative agencies produce high-quality advertising content by providing insights into the effectiveness of their creative choices.

• Lead the development and deployment of advanced AI and machine learning models to support and enhance workflows;
• Collaborate with cross-functional teams to integrate AI technologies with other system components;
• Ensure the scalability, efficiency, and robustness of AI solutions;
• Oversee the maintenance and improvement of existing AI features, adapting to new technologies and methodologies;
• Conduct and participate in code and design reviews to uphold high-quality standards;
• Mentor and guide junior AI engineers, fostering a collaborative and growth-oriented environment;
• Drive the analysis and measurement of ad-hoc studies, measuring marketing effectiveness and providing actionable insights.

• Extensive experience with version control tools, preferably Git;
• Proficiency in Docker and container orchestration;
• Advanced proficiency in Python and familiarity with AI and machine learning libraries, including TensorFlow, PyTorch, and Scikit-learn;
• Strong understanding of algorithms, data structures, and software engineering principles;
• Experience deploying AI models in a production environment;
• Proven ability to collaborate effectively with cross-functional teams and manage project timelines;
• Exceptional problem-solving skills and meticulous attention to detail;
• Deep understanding of data science fundamentals and experience with statistical analysis;
• Demonstrated experience leading and mentoring technical teams;
• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience;
• Extensive experience applying theoretical knowledge in practical scenarios through traditional employment, freelance projects, open-source contributions, or coding bootcamps;
• Demonstrated leadership experience in AI and machine learning projects;
• Nice to have: Experience with cloud computing platforms such as GCP and their AI services, familiarity with front-end technologies for AI-driven application development, advanced understanding of data engineering and ability to work with large datasets.

• Coding challenge is an essential part of the selection process.